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The need of keeping medical information safe and secure stems from the fact that doctors rely on it to make accurate diagnoses. If this information is altered in any way, no matter how minor, there is a risk of an inaccurate diagnosis, which could result in severe medical issues and death. The transition from paper to electronic health records (EHRs) has considerably improved patient care quality and efficiency. However, for many healthcare service providers, it has extended the attack surface. Because of the value of a patient's medical information, this has posed a threat to both patients and healthcare providers. When security is not taken into account in healthcare systems, patients' privacy is jeopardized. The intended solution to this challenge is to create a modified AES algorithm to secure patient medical information. Although, the AES algorithm is secure, however, there is always a need for improvement on any cryptographic algorithms in terms of computational cost. This study implements AES and modified the last round of the AES and their performance has been measured by scrambling input datasets of various contents and volumes. The experimental results show that modified AES outperforms AES algorithms in terms of Encryption time while AES outperform modified AES in terms of decryption time. Also, the Avalanche effect results revealed that modified AES has a higher avalanche effect for small-size files while a smaller avalanche effect for larger file sizes. This signifies that modified AES security is stronger for a small size file while conventional AES has higher security for larger file sizes. The average encryption time of the AES algorithm for text files is 1513.3ms while the modified AES average encryption time gives 1293.837ms. The average decryption time for conventional AES is 1289.627ms while the average decryption time for modified AES give 1400.136ms. Modified AES uses lesser time complexity during the encryption of all categories of data files while conventional AES uses lesser time complexity during the decryption of all categories of data files. [ABSTRACT FROM AUTHOR]

This paper explores the implementation of Internet of Things (IoT) technology to create a remote-control system for electrical equipment in households. The system offers a unified interface for managing various home appliances, including lights, vertical curtains, and air conditioning units. A private network infrastructure supports a personal cloud service, enabling remote access to appliance controls through the internet. The primary objective of this study is to enhance energy efficiency within households by facilitating convenient and remote management of electrical devices. Through the IoT framework, users can monitor and adjust appliance settings based on environmental conditions, accessed through a web server and user-friendly web applications or smartphone interfaces. Key findings of this paper include the real-time monitoring of electrical parameters through web applications, providing insights into energy usage patterns and opportunities for optimization. By leveraging IoT technology, homeowners can reduce energy consumption and contribute to environmental sustainability while enjoying improved convenience in appliance management. This study underscores the importance of integrating IoT solutions into household infrastructure to promote energy conservation and enhance overall efficiency. The implications of this paper extend to both individual homeowners and broader efforts to mitigate energy consumption in residential settings, ultimately contributing to a more sustainable future. [ABSTRACT FROM AUTHOR]

This document is a collection of research papers on various topics related to cybersecurity. The papers cover a range of subjects, including mapping vulnerabilities to defense strategies, countermeasures for cybersecurity challenges in higher education, identifying malware packers, the role of blockchain technology in manufacturing, text-to-image synthesis, predicting cybersecurity attacks on IoT, enhancing data security in BYOD environments, encryption schemes for IoT systems, usable security, and an analysis of the ChatGPT language model. Each paper presents its findings and proposes solutions to address specific cybersecurity issues. The document aims to raise awareness and improve mitigation efforts against cyber threats, emphasizing the importance of collaboration between businesses and law enforcement agencies. [Extracted from the article]

Identity and access management (IAM) system usually consist of predefined tasks as an information security system. The main task is the authentication, since it is responsible for user identity proving for service providers that corporate with (IAM). This paper provides a review on intelligent authentication research applicable to IAM systems. These researches are evaluated according to the proposal of intelligent authentication key factors. Depending on this evaluation it could not be found research implement an authentication that satisfies all these key factors. [ABSTRACT FROM AUTHOR]

A supply chain is an order of activities engaged which circulates, assembles and handles the products to move the benefits from a dealer under the control of the last customer. It is an interconnected compound network controlled by supply and demand. Cyber security in SCM is one of the segment of its estimates of protection which primarily gives attention in managing the essential virtual protection which comprises of system software of information technology. In the existing system, cloud services must need extra applications and assistances to locate, govern and protect data which initiate extra supply chain contributors. The manufacturing process data will mislead the manufacturing process in this system based on errors which are done manually. To Store and Maintain data in a protected manner, most algorithms such as DES (Data Encryption Standard) algorithm has disadvantages and threats which seems to be an upper hand for the hackers who are working to steal the data all around. In this paper, for securing the private and secret data, we applied and executed AES (Advanced Encryption Standard) algorithm and MD5 (Message-Digest algorithm 5) in supply chain management. We apply PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyzes) approach in domain of supply chain management, data security, and cyber security to screen the various methods and algorithms which are published in various journal papers and to select a unique and best approach to be used in supply chain management and its security. This method is basically a kind of literature survey to select a best topic for doing a project or a research paper. [ABSTRACT FROM AUTHOR]

In our rapidly digitalizing world, the safeguarding of sensitive information stands as a critical concern for organizations across industries. This paper addresses the evolving complexities in data security by advocating the Advanced Encryption Standard (AES) algorithm as a robust defense against the expanding landscape of cyber threats. As financial, healthcare, and educational data transition to digital formats, vulnerabilities in data transmission become more pronounced. To counter these risks and ensure the integrity, confidentiality, and authenticity of essential data, this paper emphasizes the implementation of AES encryption. Thoroughly scrutinizing the widely acknowledged AES algorithm, we highlight its effectiveness and adaptability in securing data. The paper underscores the indispensability of AES in the modern data security milieu, emphasizing its role not only in securing information during transmission and storage but also in decryption, granting authorized users access to protected data. By embracing AES encryption and decryption, organizations can strengthen their defenses against various data-related threats, maintaining the trust and assurance of stakeholders. This work emphasizes the pressing demand for AES encryption and decryption in an era where data security takes precedence, offering valuable insights into their significance and practical application for the protection of crucial digital assets. [ABSTRACT FROM AUTHOR]

Communication security has become particularly crucial with the rapid development of the Internet of Things (IoT). Frequency hopping spread spectrum (FHSS) technology, a prevalent method in wireless communication, has a wide range of applications in the Internet of Things. Enhancing the security of frequency hopping sequences is an essential means to improve the security of frequency hopping communication in the Internet of Things, as the performance of frequency hopping sequences plays a crucial role in frequency hopping systems. This paper proposes constructing secure adaptive frequency hopping sequence sets based on the advanced encryption standard (AES) algorithm. As a block cipher algorithm with superior security, the AES algorithm can provide a fundamental guarantee for the security of the proposed frequency hopping sequences. The mapping methods from ciphertext sequences to frequency hopping sequences proposed in this paper can achieve the construction of frequency hopping sequences of any frequency set size to meet the requirements of adaptive frequency hopping. In addition, we also model and analyse the problem of overlapping spectrum band of the IoT groups in the industrial, scientific, and medical (ISM) band, aiming to achieve better packet transmission performance by adjusting the frequency set size. [ABSTRACT FROM AUTHOR]

With the explosion of data in the Internet of vehicles, large power consumption, low quality of service, and content delivery security issues have been brought. To solve these problems, a secure caching strategy based on content and resource allocation is proposed. Firstly, the caching optimization problem is formulated as a power consumption minimization problem with vehicle rate and resource constraints. Then, considering the characteristics of the content placement and content delivery, the power consumption optimization problem is decomposed into two sub-problems. The first sub-problem researches the impacts of vehicle preferences and content sizes on cache decisions, and a content popularity and size-aware caching strategy is proposed. The second sub-problem researches the effects of wireless resources on transmission power consumption, and an efficient content delivery strategy by iterative bandwidth and power allocation is proposed. After obtaining the optimal caching strategy, this paper combines the use of improved elliptic curve cryptography and advanced encryption standard algorithms to perform content secure placement. Simulation results demonstrate that the proposed strategy can significantly improve the power consumption and caching hit rate compared with benchmark schemes. [ABSTRACT FROM AUTHOR]

In this paper, the authors present a technique for developing a secure messaging service called "CryptoMess" which utilizes the Commutative Supersingular Isogeny Diffie-Hellman (CSIDH) algorithm for secure key exchange and the Advanced Encryption Standard (AES) to protect message content in communication. In addition, the authors have incorporated the Falcon post-quantum digital signature technology to ensure the integrity and authenticity of communications between the sender and the recipient. The novel post-quantum cryptographic algorithms utilized by the authors are still under consideration in the competition to select cryptosystems for use in quantum computing systems organized by the NIST Standards Institute. As a result, the messaging program "CryptoMess" is able to exchange messages between users, providing safety, security, integrity, and authenticity. The authors have included modern post-quantum cryptography techniques, such as the Falcon digital signature system, to guarantee that the product operates safely. The program has a transmitting rate of approximately 209–261 ms and a receiving rate of approximately 168–206 ms. The message signing time is about 260 ms, and the message verification speed is approximately 185 ms. Key generation time is about 741 ms, key encapsulation time is about 1.454 ms, and key decapsulation time is about 1.921 ms. The source code of the "CryptoMess" communications program has been analyzed and tested by the authors using the Fortify Static Code Analyzer tool to ensure that the product has been created safely and securely. [ABSTRACT FROM AUTHOR]

Purpose: Automatic dependent surveillance-broadcast (ADS-B) is the foundational technology of the next generation air transportation system defined by Federal Aviation Authority and is one of the most precise ways for tracking aircraft position. ADS-B is intended to provide greater situational awareness to the pilots by displaying the traffic information like aircraft ID, altitude, speed and other critical parameters on the Cockpit Display of Traffic Information displays in the cockpit. Unfortunately, due to the initial proposed nature of ADS-B protocol, it is neither encrypted nor has any other innate security mechanisms, which makes it an easy target for malicious attacks. The system is vulnerable to various active and passive attacks like message ingestion, message deletion, eavesdropping, jamming, etc., which has become an area of concern for the aviation industry. The purpose of this study is to propose a method based on modified advanced encryption standard (AES) algorithm to secure the ADS=B messages and increase the integrity of ADS-B data transmissions. Design/methodology/approach: Though there are various cryptographic and non-cryptographic methods proposed to secure ADS-B data transmissions, it is evident that most of these systems have limitations in terms of cost, implementation or feasibility. The new proposed method implements AES encryption techniques on the ADS-B data on the sender side and correlated decryption mechanism at the receiver end. The system is designed based on the flight schedule data available from any flight planning systems and implementing the AES algorithm on the ADS-B data from each aircraft in the flight schedule. Findings: The suitable hardware was developed using Raspberry pi, ESP32 and Ra-02. Several runs were done to verify the original message, transmitted data and received data. During transmission, encryption algorithm was being developed, which has got very high secured transmission, and during the reception, the data was secured. Field test was conducted to validate the transmission and quality. Several trials were done to validate the transmission process. The authors have successfully shown that the ADS-B data can be encrypted using AES algorithm. The authors are successful in transmitting and receiving the ADS-B data packet using the discussed hardware and software methodology. One major advantage of using the proposed solution is that the information received is encrypted, and the receiver ADS-B system can decrypt the messages on the receiving end. This clearly proves that when the data is received by an unknown receiver, the messages cannot be decrypted, as the receiver is not capable of decrypting the AES-authenticated messages transmitted by the authenticated source. Also, AES encryption is highly unlikely to be decrypted if the encryption key and the associated decryption key are not known. Research limitations/implications: Implementation of the developed solution in actual onboard avionics systems is not within the scope of this research. Hence, assessing in the real-time distances is not covered. Social implications: The authors propose to extend this as a software solution to the onboard avionics systems by considering the required architectural changes. This solution can also bring in positive results for unmanned air vehicles in addition to the commercial aircrafts. Enhancement of security to the key operational and navigation data elements is going to be invaluable for future air traffic management and saving lives of people. Originality/value: The proposed solution has been practically implemented by developing the hardware and software as part of this research. This has been clearly brought out in the paper. The implementation has been tested using the actual ADS-B data/messages received from using the ADS-B receiver. The solution works perfectly, and this brings immense value to the aircraft-to-aircraft and aircraft-to-ground communications, specifically while using ADS-B data for communicating the position information. With the proposed architecture and minor software updates to the onboard avionics, this solution can enhance safety of flights. [ABSTRACT FROM AUTHOR]

The security of wireless communication systems has been the focal subject of research for more than a century. It is a topic of vital importance due to its effectiveness in many fields. Besides, the importance of sending data from one point to another without intercepting by unwanted third-party has become an essential requirement in conjunction with the widespread hacking technologies. This research paper is set out to explore a new technique used in internet of things applications that will ensure a secure wireless communication system. Additionally, it clarifies five distinct cryptographic methods: advanced encryption standard, elliptic curve cryptography, transposition, substitution, and Rivest, Shamir, and Adleman. In addition, the secure wireless communication system combines four of the prementioned techniques to build a highly secure system. Moreover, we managed to elucidate the critical points of our work on the long-range systems into a short yet informative and detailed summary. This paper will extensively cover the following topics: cryptography, cryptographic methods and techniques, software implementation, applications, and advantages of the system. [ABSTRACT FROM AUTHOR]

The Advanced Encryption Standard (AES) is widely recognized as a robust cryptographic algorithm utilized to protect data integrity and confidentiality. When it comes to lightweight implementations of the algorithm, the literature mainly emphasizes area and power optimization, often overlooking considerations related to performance and security. This paper evaluates two of our previously proposed lightweight AES implementations using both profiled and non-profiled attacks. One is an unprotected implementation, and the other one is a protected version using Domain-Oriented Masking (DOM). The findings of this study indicate that the inclusion of DOM in the design enhances its resistance to attacks at the cost of doubling the area. [ABSTRACT FROM AUTHOR]

In the rapid evolving digital landscape, the imperative to ensure data security has never been more crucial. This paper addresses the pressing challenges in data security by introducing a file encryption management system, leveraging a modified advanced encryption standard (AES) algorithm with reduced round iterations and bit permutation. This system aims to comprehensively secure various file types, providing a dependable solution for file exchange. Our findings reveal substantial improvements in both encryption and decryption processes using the reduced-round permutationbased AES (RRPBA). The adapted algorithm demonstrates a significant 38.8% acceleration in encryption time and a remarkable 44.86% improvement in decryption time, positioning it as a pivotal component for efficient file operations within the management system. Moreover, the throughput assessments showcase a remarkable 33.73% improvement in encryption and 23.72% in decryption, outperforming the original AES, emphasizing the algorithm's superior computational effectiveness, signaling positive implications for future high-performance applications. In conclusion, the study not only addresses critical security challenges but also presents a viable solution with tangible speed advantages for file encryption and decryption processes within digital file management systems. [ABSTRACT FROM AUTHOR]

In this paper, a proposal is made for a cryptographic algorithm designed for passive ultra-high-frequency (UHF) radio frequency identification systems. The algorithm relies on the advanced encryption standard (AES) as its fundamental encryption technique, augmented by two supplementary steps: the initial step involves generating a random key and the second is the randomization of data, this introduces an extra level of security to encryption process against attacks. The developed architecture has been optimized to minimize hardware resource consumption with faster execution speed. The algorithm has been simulated, synthesized and implemented in an xtreme digital signal processing (DSP) starter kit equipped with xilinx’s spartan-3A DSP 1800A edition and it serves the purpose of encrypting and decrypting user data on a radio frequency identification (RFID) passive tag. The main objective is to make it difficult to break the algorithm because of its multiple steps. The experimental results showed that the speed, functionality and cost of encryption and decryption make this a perfectly practical solution, providing a satisfactory level of security for today’s communications systems, or other electronic data transfer processes where security is required. [ABSTRACT FROM AUTHOR]

To secure sensitive medical records in the healthcare clouds, this paper proposes an End-to-End Encryption (E2EE) to enhance a patient-centric blockchain-based system for electronic health record (EHR) management. The suggested system with a focus on the patient enables individuals to oversee their medical records within various involved parties by authorizing or withdrawing permission for access to their records. Utilizing the inter-planetary file system (IPFS) for record storage is chosen due to its decentralized nature and its ability to guarantee the unchangeability of records. Then an E2EE enhancement maintains the medical data integrity using dual level-Hybrid encryption: symmetric Advanced Encryption Standard (AES) and asymmetric Elliptic Curve Cryptography (ECC) cryptographic techniques. The proposed system is implemented using the Ethereum blockchain system for EHR data sharing and integration utilizing a web-based interface for the patient and all users to initiate the EHR sharing transactions over the IPFS cloud. The proposed system performance is evaluated in a working system prototype. For different file sizes between 512 KB to 100 MB, the performance metrics used to evaluate the proposed system were the time consumed for generating key, encryption, and decryption. The results demonstrate the proposed system's superiority over other cutting-edge systems and its practical ability to share secure health data in cloud environments. [ABSTRACT FROM AUTHOR]

Mobile ad hoc networks are attaining popularity to its highest currently, as the users need wireless connectivity regardless of their geographical location. Threats of security attacks are growing on the Mobile Ad-hoc Networks (MANETs). MANETs must require a secure mode for communication and transmission which is rather challenging and vigorous issue. With the aim of providing secure transmission and communication, researcher worked explicitly on the security concerns in MANETs. Several secure protocols and security methods within the networks were projected but utmost of the security measures in their designs are not ruminated. Hence, a novel scheme is proposed in this paper for the secure and reliable data transmission in MANETs under black hole attack constructed on amended Ad hoc On-demand Multipath Distance Vector (AOMDV) protocol of our base scheme. This paper comprises AOMDV protocol for the multiple route discoveries along with K-Nearest Neighbor (KNN) for nearest neighbor node selection and use False key-build Advanced Encryption Standard (FAES) encryption scheme for cryptography method. FAES algorithm is used with the aim of securing the IoT devices and data from the hardware and network attacks. Also, the interaction of the scheme with the IoT based concepts making our work even smarter to the users. The proposed scheme performance is stable with higher throughput while that of base scheme. The quality of the proposed scheme is measured in terms of energy consumption, EE-delay and throughput. The results of simulation show that the Variance, EE-delay, energy consumption and throughput of proposed FAES-AOMDV protocol is lower than the original AOMDV protocol. FAES-AOMDV protocol ensures the secure transmission of data with least energy consumption in the presence of malicious nodes. [ABSTRACT FROM AUTHOR]

MEGA is an end-to-end encrypted cloud storage platform controlled by users. Moreover, the communication between MEGA client and server is carried out under the protection of Transport Layer Security (TLS) encryption, it is difficult to intercept the key data packets in the process of MEGA registration, login, file data upload, and download. These characteristics of MEGA have brought great difficulties to its forensics. This paper presents a method to attack MEGA to provide an effective method for MEGA's forensics. By debugging the open-source code of MEGA and analyzing the security white paper published, this paper first clarifies the encryption mechanism of MEGA, including the detailed process of registration, login, and file encryption, studies the encryption mechanism of MEGA from the perspective of protocol analysis, and finds out the vulnerability of MEGA encryption mechanism. On this basis, amethod to attackMEGA is proposed, and the secret data stored in theMEGAserver can be accessed or downloaded; Finally, the efficiency of the attack method is analyzed, and some suggestions to resist this attack method are put forward. [ABSTRACT FROM AUTHOR]

Data deduplication is a process that gets rid of excessive duplicates of data and minimizes the storage capacity to a large extent. This process mainly optimizes redundancies without compromising the data fidelity or integrity. However, the major challenge faced by most data deduplication systems is secure cloud storage. Cloud computing relies on the ability and security of all information. In the case of distributed storage, data protection and security are critical. This paper presents a Secure Cloud Framework for owners to effectively handle cloud-based information and provide high security for information (SCF). Weaknesses, Cross-Site Scripting (XSS), SQL perfusion, adverse processing, and wrapping are all examples of significant attacks in the cloud. This paper proposes an improved Secure File Deduplication Avoidance (SFDA) algorithm for block-level deduplication and security. The deduplication process allows cloud customers to adequately manage the distributed storage space by avoiding redundant information and saving transfer speed. A deep learning classifier is used to distinguish the familiar and unfamiliar data. A dynamic perfect hashing scheme is used in the SFDA approach to perform convergent encryption and offer secure storage. The Chaotic krill herd optimization (CKHO) algorithm is used for the optimal secret key generation process of the Advanced Encryption Standard (AES) algorithm. In this way, the unfamiliar data are encrypted one more time and stored in the cloud. The efficiency of the results is demonstrated via the experiments conducted in terms of computational cost, communication overhead, deduplication rate, and attack level. For file sizes of 8 MB, 16 MB, 32 MB, and 64 MB, the proposed methodology yields a deduplication rate of 53%, 62%, 54%, and 44%, respectively. The dynamic perfect hashing and the optimal key generation using the CKHO algorithm minimizes the data update time and the time taken to update a total of 1024 MB data is 341.5 ms. The improved SFDA algorithm's optimal key selection approach reduces the impact of an attack by up to 12% for a data size of 50 MB, whereas the existing system is mostly impacted by data size, and its attack level rises by up to 19 percent for the same data size. [ABSTRACT FROM AUTHOR]

Introduction: Internet of things (IoT) compose of million of devices connected together over the internet. IoT plays a vital role now a days and especially in future, the most of the monitoring and data collection. The data should be secure while collection and as well in the process of transferring till the destination whether Service Organization Control (SOC) or to cloud for storage. In this paper, a secure IoT based intelligent monitoring system is proposed. Methods: An intelligent IoT station that interacts via cellular connection to relay data to the cloud is constructed using the Waspmote platform. The algorithm is injected to automatically filter and only keep the new data for transfer to avoid redundancy. The advanced encryption standard (AES) 256-bit method is enabled for onboard data encryption and then the generated cipher text is transmitted. The encrypted data is then stored over the cloud to ensure privacy. Moreover, the mobile application (mApp) is developed to be installed on handheld devices for calling the secure data from the cloud, decrypting it, and displaying it as per user input, whether real-time or historical. Results and Discussion: The encryption algortihm helps in securing the proposed monitoring system from brute force, man in the middle, phishing, spoofing, and denial of service (DoS) attacks. The results of the real testbed experimentation demonstrate the complexity evaluation and reliability of IoT monitoring systems with end-to-end data security in terms of encryption algorithm delay and data rate, respectively. [ABSTRACT FROM AUTHOR]

In the wireless communication technologies of today are used to transfer enormous amounts of digital data frequently between various embedded devices. For avoiding information loss and stopping cybercrimes, data security is regarded as a crucial factor. Modern cryptography encryption techniques are essential for creating secure communication. The Advanced Encryption Standard (AES) is widely regarded as the cryptography field's strongest encryption technique. In AES has three types of keys using that is AES128, AES192, AES256 and blocksize only 128bits. In this paper using AES-256, because it's very secure for valuable information. This research paper describes how the AES algorithm uses a low area, little latency, high-speed FPGA design to secure data. The implementation of the SubBytes and InvSubBytes phases of AES encryption and decryption in this research did not rely on Look-Up Tables (LUTs). Instead, this novel approach employed combinational logical circuits to construct the SubBytes and InvSubBytes transformation. Here analysed AES Logic gates approach reduced area in terms of number of slices LUTs are 6120, slice registers are 226, flip flops are 6120, and bonded IOB are 513 when compared to the LUT. Unwanted delays in this design are reduced because of the removal of LUTs, and a Three Stage pipelining structure is added to enhance the performance of the AES algorithm. AES Logic gates three stage pipeline approach reduced delay up to 60.55ns when compared to Logic gates without pipeline approach. The proposed approach simulated, synthesized Implemented with Virtex-5 FPGA device along with design in Verilog code in XILINX 14.7 Software. [ABSTRACT FROM AUTHOR]

The proliferation of social networks, the Internet of Things, and economic mobility has led to an exponential increase in data. New data having high volume, high velocity, high variety, and high value are called big data. Big data present additional requirements in terms of storage and computation resources. Various enterprises aim to outsource their big data services to the cloud because of its cost efficiency, less management, resource pooling, and resilient computing. However, outsourcing the storage of sensitive data can expose them to potential security risks. Encryption presents a straightforward solution for data privacy preserving. In traditional encryption mechanisms, such as advanced encryption standard, the data owner and users must share an exact key for both data encryption and decryption. Currently, these mechanisms do not provide a scalable and secure solution for big data storage and analysis. Furthermore, they need to be more efficient to support big data velocity. Unfortunately, securing outsourced big data storage to a public cloud environment to later maintain efficient and secure processing over encrypted data by cloud servers cannot be ensured using traditional encryption mechanisms. In this paper, we propose a security approach for this issue by which honest but curious users or cloud service providers cannot reach complete information from the stored data. From the analysis, the proposed approach can provide secure cloud-assisted big data. Meanwhile, the performance evaluation shows the efficiency of the proposed approach. [ABSTRACT FROM AUTHOR]

Ensuring the protection of digital data is of utmost importance in our current reliance on network operations. However, security measures such as data encryption often result in decreased performance speed. This paper enhanced the 128-bit version of the advanced encryption standard (AES) by substituting the MixColumns function with a permutation-based approach and decreasing the overall number of rounds. The evaluation results indicate a substantial enhancement in the speed of encryption and decryption, with a 76.76% improvement in encryption time and a 55.46% improvement in decryption time. Furthermore, it is important to mention that the modifications implemented in the standard AES did not compromise its security in relation to the strict avalanche criterion. The avalanche effect of the modified AES is 52.92%, surpassing the minimum requirement of 50%. Finally, the modified AES demonstrated a 31.12% increase in throughput for encryption and a 25.50% increase for decryption when compared to the original AES, using the sample dataset. [ABSTRACT FROM AUTHOR]

A new image encryption scheme using the advanced encryption standard (AES), a chaotic map, a genetic operator, and a fuzzy inference system is proposed in this paper. In this work, plain images were used as input, and the required security level was achieved. Security criteria were computed after running a proposed encryption process. Then an adaptive fuzzy system decided whether to repeat the encryption process, terminate it, or run the next stage based on the achieved results and user demand. The SHA-512 hash function was employed to increase key sensitivity. Security analysis was conducted to evaluate the security of the proposed scheme, which showed it had high security and all the criteria necessary for a good and efficient encryption algorithm were met. Simulation results and the comparison of similar works showed the proposed encryptor had a pseudo-noise output and was strongly dependent upon the changing key and plain image. [ABSTRACT FROM AUTHOR]

With the rapid development of network and communication technology, the interaction of various information data is more and more frequent, and people pay more and more attention to information security. The information encryption algorithm is a research hotspot in the field of information security. The Advanced Encryption Standard (AES) algorithm has been widely used in the field of information security with its high security and encryption efficiency. This paper mainly introduces the optimization of the AES-128 encryption algorithm of the security layer in ZigBee networking of the Internet of Things. By analyzing the principles of ZigBee networking and the AES encryption algorithm, the changes are optimized. In this paper, the new S-box cryptographic properties are used after analysis and calculation. The affine transformation period, the number of iteration cycles, and the algebraic expression of the S-box are improved. Its cryptographic properties are better than the S-box of the original algorithm, and the security of the algorithm is improved. In the theory of column hybrid algorithm, the computational complexity is reduced by changing the fixed polynomial, and the efficiency of the column hybrid algorithm is improved. In this paper, the performance of the improved AES algorithm is tested. The results show that, in the power consumption curve experiment, the recovery success rate of the original algorithm is about 42%, and the recovery success rate of the improved algorithm is nearly 60%. The improved algorithm is faster than the original algorithm in achieving a recovery success rate of 100%. Experimental results show that the design can accurately complete the encryption and decryption of the AES algorithm, and the performance is better than the original algorithm, which proves the overall superiority of the algorithm. [ABSTRACT FROM AUTHOR]

The latest version of ZigBee offers improvements in various aspects, including its low power consumption, flexibility, and cost-effective deployment. However, the challenges persist, as the upgraded protocol continues to suffer from a wide range of security weaknesses. Constrained wireless sensor network devices cannot use standard security protocols such as asymmetric cryptography mechanisms, which are resource-intensive and unsuitable for wireless sensor networks. ZigBee uses the Advanced Encryption Standard (AES), which is the best recommended symmetric key block cipher for securing data of sensitive networks and applications. However, AES is expected to be vulnerable to some attacks in the near future. Moreover, symmetric cryptosystems have key management and authentication issues. To address these concerns in wireless sensor networks, particularly in ZigBee communications, in this paper, we propose a mutual authentication scheme that can dynamically update the secret key value of device-to-trust center (D2TC) and device-to-device (D2D) communications. In addition, the suggested solution improves the cryptographic strength of ZigBee communications by improving the encryption process of a regular AES without the need for asymmetric cryptography. To achieve that, we use a secure one-way hash function operation when D2TC and D2D mutually authenticate each other, along with bitwise exclusive OR operations to enhance cryptography. Once authentication is accomplished, the ZigBee-based participants can mutually agree upon a shared session key and exchange a secure value. This secure value is then integrated with the sensed data from the devices and utilized as input for regular AES encryption. By adopting this technique, the encrypted data gains robust protection against potential cryptanalysis attacks. Finally, a comparative analysis is conducted to illustrate how the proposed scheme effectively maintains efficiency in comparison to eight competitive schemes. This analysis evaluates the scheme's performance across various factors, including security features, communication, and computational cost. [ABSTRACT FROM AUTHOR]

Privacy preservation (PP) in Digital forensics (DF) is a conflicted and non-trivial issue. Existing solutions use the searchable encryption concept and, as a result, are not efficient and support only a keyword search. Moreover, the collected forensic data cannot be analyzed using existing well-known digital tools. This research paper first investigates the lawful requirements for PP in DF based on the organization for economic co-operation and development OECB) privacy guidelines. To have an efficient investigation process and meet the increased volume of data, the presented framework is designed based on the selective imaging concept and advanced encryption standard (AES). The proposed framework has two main modules, namely Selective Imaging Module (SIM) and Selective Analysis Module (SAM). The SIM and SAM modules are implemented based on advanced forensic format 4 (AFF4) and SleuthKit open source forensics frameworks, respectively, and, accordingly, the proposed framework is evaluated in a forensically sound manner. The evaluation result is compared with other relevant works and, as a result, the proposed solution provides a privacy-preserving, efficient forensic imaging and analysis process while having also sufficient methods. Moreover, the AFF4 forensic image, produced by the SIM module, can be analyzed not only by SAM, but also by other well-known analysis tools available on the market. [ABSTRACT FROM AUTHOR]

Nowadays, high-resolution images pose several challenges in the context of image encryption. The encryption of huge images’ file sizes requires high computational resources. Traditional encryption techniques like, Data Encryption Standard (DES), and Advanced Encryption Standard (AES) are not only inefficient, but also less secure. Due to characteristics of chaos theory, such as periodicity, sensitivity to initial conditions and control parameters, and unpredictability. Hence, the characteristics of deoxyribonucleic acid (DNA), such as vast parallelism and large storage capacity, make it a promising field. This paper presents an efficient color image encryption method utilizing DNA encoding with two types of hyper-chaotic maps. The proposed encryption method comprises three steps. The first step initializes the conditions for generating Lorenz and Rossler hyper-chaotic maps using a plain image Secure Hash Algorithm (SHA-256/384). The second step performs a confusion procedure by scrambling the three components of the image (red, green, and blue) using Lorenz hyper-chaotic sequences. Finally, the third step combines three approaches to encrypt the scrambled components for diffusion: DNA encoding/decoding, addition operation between components, and XORing with Rossler hyper-chaotic sequences. The simulation results indicate that the suggested encryption algorithm satisfies the requirements of security. The entropy value of confusion and diffusion is 7.997, the key space is 2200, and the correlation coefficient is nearly zero. The efficacy of the proposed method has been verified through numerous evaluations, and the results show its resistance and effectiveness against several attacks, like statistical and brute-force attacks. Finally, the devised algorithm vanquishes other relevant color image encryption algorithms. [ABSTRACT FROM AUTHOR]

Securing digital data from unauthorized access throughout its entire lifecycle has been always a critical concern. A robust data security system should protect the information assets of any organization against cybercriminal activities. The Twofish algorithm is one of the well-known symmetric key block cipher cryptographic algorithms and has been known for its rapid convergence. But when it comes to security, it is not the preferred cryptographic algorithm to use compared to other algorithms that have shown better security. Many applications and social platforms have adopted other symmetric key block cipher cryptographic algorithms such as the Advanced Encryption Standard (AES) algorithm to construct their main security wall. In this paper, a new modification for the original Twofish algorithm is proposed to strengthen its security and to take advantage of its fast convergence. The new algorithm has been named Split-n-Swap (SnS). Performance analysis of the new modification algorithm has been performed using different measurement metrics. The experimental results show that the complexity of the SnS algorithm exceeds that of the original Twofish algorithm while maintaining reasonable values for encryption and decryption times as well as memory utilization. A detailed analysis is given with the strength and limitation aspects of the proposed algorithm. [ABSTRACT FROM AUTHOR]

Nowadays, the security of images or information is very important. This paper introduces a proposed hybrid watermarking and encryption technique for increasing medical image security. First, the secret medical image is encrypted using Advanced Encryption Standard (AES) algorithm. Then, the secret report of the patient is embedded into the encrypted secret medical image with the Least Significant Bit (LSB) watermarking algorithm. After that, the encrypted secret medical image with the secret report is concealed in a cover medical image, using Kekre's Median Codebook Generation (KMCG) algorithm. Afterwards, the stegoimage obtained is split into 16 parts. Finally, it is sent to the receiver. We adopt this strategy to send the secret medical image and report over a network securely. The proposed technique is assessed with different encryption quality metrics including Peak Signal-to-Noise Ratio (PSNR), Correlation Coefficient (Cr), Feature Similarity Index Metric (FSIM), and Structural Similarity Index Metric (SSIM). Histogram estimation is used to confirm the matching between the secret medical image before and after transmission. Simulation results demonstrate that the proposed technique achieves good performance with high quality of the received medical image and clear image details in a very short processing time. [ABSTRACT FROM AUTHOR]

Now-a-days, secured information transfer to others require security because the data might be stolen from hackers. To avoid these type of problems, are use Cryptography Secure Algorithms. Cryptography Algorithms play important role in network security. It is an Advanced Encryption Standard (AES) Algorithm. The AES is a Symmetric encryption using private key. This encryption process consists of blocks such as Key Expansion, Pre Round Operation, Add Round Key, Sub Bytes, Shift Rows and Mix Column. The Advanced encryption standard algorithm is using cryptographic secret keys-128 bits, 192 bits, and 256 bits to encryption, and decryption input data is 128 bits. This paper represents the survey of Cryptography Secure AES algorithm. [ABSTRACT FROM AUTHOR]

Application of control or modelling technology covers many diverse fields of practical systems. The switched time-delay systems can be modelled from some practical systems, such as automotive engine control systems, chemical processes, power systems, and power electronics. The paper by Ko-Fei Lee and Ching-Hung Lee proposes a servo-tuning system for five-axis machine tools using a virtual feed drive system in which the particle swarm optimization (PSO) algorithm was adopted to identify and estimate the optimal system parameters. [Extracted from the article]

Recently, the major challenging attack is the side channel attack for both symmetric and asymmetric algorithm. Because in both cases, the secret key has to be sent out via a safe secured channel. The advanced encryption standard (AES) is mentioned as the best standard encryption algorithm by the US government, but there is one major attack on the AES that is the brute force attack. So, how to rule out these kinds of attack and how it is implemented effectively in hardware are being discussed in this paper. The honey encryption scheme is an effective algorithm, and it is also being discussed. In this paper, the detailed description of the AES and the methods to improve its speed and how it is integrated with the honey technique have been discussed. The different kinds of attacks and the various solutions are discussed for both of the algorithms. A survey of papers which has used these algorithms for various reasons with different perspective has been given. The honey algorithm creates the fake message for the wrong try of the key puncher. Thus, this is considered as the best algorithm, but it is also has some disadvantages that is also focussed in our survey. Copyright © 2017 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Content centric networking is one of the emerging paradigm for inter-vehicle communication that focuses on the contents being shared within the network. In this paper, we have proposed a content-centric vehicular network (CCVN) for faster access of contents. We have also proposed a hybrid encryption scheme that uses Advanced encryption standard (AES-128) and digital signature to secure the content of CCVN during inter-vehicle communication. In the results, the proposed encryption scheme minimises the computational cost for encryption and digital signature verification, and handles various security attacks like integrity, replay, and key-guessing efficiently. We have also performed the performance evaluation of CCVN with other techniques. Here, the obtained results represents that the proposed CCVN architecture reduces the overall time-delay in the network. [ABSTRACT FROM AUTHOR]

Continuous improvements in very-large-scale integration (VLSI) technology and design software have significantly broadened the scope of digital signal processing (DSP) applications. The use of application-specific integrated circuits (ASICs) and programmable digital signal processors for many DSP applications have changed, even though new system implementations based on reconfigurable computing are becoming more complex. Adaptable platforms that combine hardware and software programmability efficiency are rapidly maturing with discrete wavelet transformation (DWT) and sophisticated computerized design techniques, which are much needed in today’s modern world. New research and commercial efforts to sustain power optimization, cost savings, and improved runtime effectiveness have been initiated as initial reconfigurable technologies have emerged. Hence, in this paper, it is proposed that the DWT method can be implemented on a field-programmable gate array in a digital architecture (FPGA-DA). We examined the effects of quantization on DWT performance in classification problems to demonstrate its reliability concerning fixed-point math implementations. The Advanced Encryption Standard (AES) algorithm for DWT learning used in this architecture is less responsive to resampling errors than the previously proposed solution in the literature using the artificial neural networks (ANN) method. By reducing hardware area by 57%, the proposed system has a higher throughput rate of 88.72%, reliability analysis of 95.5% compared to the other standard methods. [ABSTRACT FROM AUTHOR]

In future generation networks, data protection is a crucial necessity particularly when information is sent on a system. Network protection has three objectives known as discretion, reliability and accessibility. The most common procedure exploited to attain this ambition is encryption. The Generalized Multi Protocol Label Switched (GMPLS) optical networks are designed to survive Internet Protocol's (IPʹs) unreliable delivery. In this paper, GMPLS network is proposed with random users and then the data protection algorithms have been analyzed on proposed GMPLS optical network. The various algorithms involve Rivest Shamir Adleman (RSA) algorithm and Advanced Encryption Standard (AES) algorithm. The considered algorithms are very popular but have not been implemented on GMPLS optical networks in the literature which shows the novelty of the presented work. The network performance is compared for these algorithms in terms of various parameters like blocking probability and latency. The results reveal that RSA reduces the blocking probability < 0.005 and latency < 0.007 ms. This shows that RSA gives better performance than AES algorithm and enhance the quality of service considering blocking probability, latency and overheads in GMPLS optical networks leading to enhanced data protection. [ABSTRACT FROM AUTHOR]