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The physical protection systems of Nuclear Power Plant are utilized to safeguard targets against intrude by attacker. As the methods employed by attackers to intrude Nuclear Power Plant become increasingly complex and diverse, there is an urgent need to identify optimal defense strategies to interrupt adversary intrusions. This paper focuses on studying the defense of security personnel against adversary intrusions and utilizes an evolutionary game approach to select the optimal defense decisions for physical protection systems. Under the assumption of bounded rationality for both the attacker and defender, the paper constructs replication dynamic equations for attack and defense strategies, investigating the process of strategy selection and the stability of evolution. Finally, a minimal model is proposed to validate the feasibility of utilizing the evolutionary game model for defense strategy selection.

The Internet of Things (IoT) has been widely employed in the development of smart locker systems over the last decade. However, some of these systems are based on authentication methods which lack flexibility. Such systems did not consider the possibility that an authentication method could be unavailable for different reasons, namely access card loss, camera or mice break, etc. Moreover, such systems do not consider dual-authentication methods that enhance security. This paper aims to develop a smart locker system that considers several authentication methods including dual authentication (phone number and One Time Password (OTP)), fingerprint, face recognition, and emergency code utilizing IoT technology. Dual authentication method is the considered base authentication method. The system has been fabricated and evaluated taking into account different scenarios including monitoring door status, ensuring access for authorized users, and denying access to unauthorized users. [ABSTRACT FROM AUTHOR]

The infrared and visible fusion technology holds a pivotal position in smart city for cloud and fog computing, particularly in security system. By fusing infrared and visible image information, this technology enhances target identification, tracking and monitoring precision, bolstering overall system security. However, existing deep learning‐based methods rely heavily on convolutional operations, which excel at extracting local features but have limited receptive fields, hampering global information capture. To overcome this difficulty, we introduce GRDATFusion, a novel end‐to‐end network comprising three key modules: transformer, gradient residual dense and attention residual. The gradient residual dense module extracts local complementary features, leveraging a dense‐shaped network to retain potentially lost information. The attention residual module focuses on crucial input image details, while the transformer module captures global information and models long‐range dependencies. Experiments on public datasets show that GRDATFusion outperforms state‐of‐the‐art algorithms in qualitative and quantitative assessments. Ablation studies validate our approach's advantages, and efficiency comparisons demonstrate its computational efficiency. Therefore, our method makes the security systems in smart city with shorter delay and satisfies the real‐time requirement. [ABSTRACT FROM AUTHOR]

Purpose: the aim of the article is to provide a broader context for the discussion on the significance and role of cybersecurity system in Poland. Cybersecurity is extremely significant for individual users, enterprises and entire countries. Cyberthreats might lead to serious consequences, for example data theft, loss of reputation, financial losses. They can be even dangerous for national security. Therefore, cybersecurity is an intrinsic element of the security system which needs to be constantly enhanced and adapted to the dynamically changing environment of threats. Design/methodology/approach: the article is cross-sectional. The implementation of the goal is based on a critical analysis of literature. Findings: the cross-sectional approach and literature review employed in this study have contributed to a comprehensive understanding of cybersecurity system in Poland. Practical implications: effective cybersecurity has a fundamental meaning for the stability and national security of Poland. Providing protection against cyberthreats is crucial for maintaining the continuity of essential services, securing data protection and citizens’ privacy, as well as for preventing potential disruptions in the functioning of economy and critical infrastructure. Social implications: an effective cybersecurity system builds public trust and strengthens the position of Poland on the international area as a country capable of protecting its interests in the digital world. In the face of dynamically changing threats, continuous improvement and adaptation of the cybersecurity system remains necessary to tackle contemporary challenges and ensure long-lasting stability and national security. Originality/value: this paper has provided an in-depth exploration of cybersecurity system in Poland the context of management. [ABSTRACT FROM AUTHOR]

The article reveals the problem of mitigating an insider threat by creating a timebalanced security system in an organization. Based on Markov chain, the authors propose a basic model of interaction in an "organization - insider" system. The article analytically defines a ratio between the time of an insider attack and the time during which the organization's security system can neutralize it. The authors propose a concept of a multi-level system of organization protection, which takes into account the involved resources and practical skills of employees, as well as security services. At the end of the article, it is concluded that the proposed concept of the organization's protection system will be effective against potential insider attacks. [ABSTRACT FROM AUTHOR]

Enormous information is an accumulation of vast measures of information that contains copied things gathered from different sources. Distinguishing copied information from enormous information is a difficult issue. In this paper secure deduplication scheme has been presented for huge information stockpiling. Customers may store and transmit data effectively and efficiently due to cloud service providers. Providers of cloud services are drawn to the application of data de-duplication tools to lower storage costs and conserve bandwidth. To secure the data they share on the cloud, users of the cloud are interested in having a secure and private connection. As a result, the priory is transferred to the cloud, and the data is encrypted. Because the encryption objective conflicts with the purpose of data deduplication, this feature presents a difficult problem. The author then suggested brand-new hybrid chunking methods to boost deduplication performance in cloud storage. Content-based hybrid chunking algorithm of Two Threshold Two Divisor (TTTD) with a Dynamic Prime Coding (DPC) algorithm is suggested for reducing the deduplication data. To increase throughput, which means reducing execution time and CPU resource utilisation, an index method must be incorporated into the deduplication matching process. For chunks with higher security levels, it offers greater security protection, while for chunks with lower security levels, it trades off security for greater deduplication effectiveness. When moving data to open, semi-trusted systems like public clouds, identity management, secure data exchange, and privacy preservation become more challenging than they are in closed, trusted systems where security and privacy can be controlled more simply. Accordingly, the article proposed a cross-domain authentication technique for the verification process. Evaluations of the real-world datasets show the efficiency of the design. With other methods, the proposed hybrid Content-based TTTD-DPC analyses many performance parameters, including chunk distribution, processing time, chunking time, throughput, average chunk size, and deduplication ratio. The deduplication system's total throughput and processing speed are both enhanced by the proposed approach. In addition, the recommended methodology reduces computational cost (772 ms) in terms of hash function compared to other existing methods. [ABSTRACT FROM AUTHOR]

The information society depends increasingly on risk assessment and management systems as means to adequately protect its key information assets. The availability of these systems is now vital for the protection and evolution of companies. However, several factors have led to an increasing need for more accurate risk analysis approaches. These are: the speed at which technologies evolve, their global impact and the growing requirement for companies to collaborate. Risk analysis processes must consequently adapt to these new circumstances and new technological paradigms. The objective of this paper is, therefore, to present the results of an exhaustive analysis of the techniques and methods offered by the scientific community with the aim of identifying their main weaknesses and providing a new risk assessment and management process. This analysis was carried out using the systematic review protocol and found that these proposals do not fully meet these new needs. The paper also presents a summary of MARISMA, the risk analysis and management framework designed by our research group. The basis of our framework is the main existing risk standards and proposals, and it seeks to address the weaknesses found in these proposals. MARISMA is in a process of continuous improvement, as is being applied by customers in several European and American countries. It consists of a risk data management module, a methodology for its systematic application and a tool that automates the process. [ABSTRACT FROM AUTHOR]

Federal higher education institutions in Brazil have particularities in terms of construction, geographical location, use of buildings, organizational structures and allocation of budgetary resources. These characteristics make managing the Fire Protection System a significant challenge, requiring an even higher level of attention and commitment. This article aims to present data describing the current context of Fire Protection and Fire Fighting System management at Federal higher education institutions in Brazil (Federal universities and institutes). The data collection was a survey, in which 87 employees, representing 69 institutions, occupying the positions of Occupational Safety Engineer or Technician took part. Among the results, the following stand out: 51% of the institutions do not have a Fire Protection System Management Plan and 32% are in the process of creating one. All institutions inspect and maintain fire extinguishers; only a minority monitor other equipment. Operational routines are weakened by a lack of management (35%), financial resources (31%) and technical staff to carry out the service (24%). Only 9% of the institutions have a Fire Department Inspection Certificate for all their buildings and 5% have an active fire department in all their buildings. Only 9% of institutions have a Fire Department Inspection Certificate for all buildings and 5% have an active fire department in all buildings. The management of the Fire Protection System in Federal higher education institutions in Brazil faces significant challenges, including a lack of management plans, insufficient control of devices and limited resources, resulting in low compliance with fire safety regulations. [ABSTRACT FROM AUTHOR]

This review paper aims to comprehensively analyze Germany-Ukraine relations in the context of Ukraine's pursuit of NATO and EU membership amidst the ongoing conflict. It focuses on Germany's shift from a pro-Russia stance to actively supporting Ukraine's NATO and EU aspirations. While tensions persist between the two countries, Germany has become a crucial ally, aiding Ukraine in repelling the Russian invasion and strengthening its Western ties. The article explores the factors driving these contradictions and highlights Germany's policy reevaluation in response to Russia's actions in Ukraine, including implications for Ukraine's NATO aspirations. It delves into Ukraine's historical path towards NATO and EU integration, critically assessing the Normandy format and Minsk agreements in the evolving German-Ukraine relationship. The article also examines how the war has transformed Germany's National Security System, as seen in Scholz's Zeitenwende speech. Ultimately, it underscores the importance of Ukraine's NATO and EU membership for its democratic future and security. The analysis of Germany and Ukraine's relationships regarding NATO membership and EU integration is made until September 2023. The goal of the article is to provide a comprehensive overview of the evolution of German-Ukraine relationships during the Russo-Ukrainian war, highlighting turning points from tensions to strong support while analyzing Ukraine's path to membership in NATO and the EU. To reveal this, we employed descriptive research methods commonly used by political scientists and economists, examining historical events, policy documents, and official statements to provide a nuanced understanding of this evolving relationship. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Agricultural Big Data is the property of Journal of Agricultural Big Data Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Integers play a basic role in the structures of asymmetric crypto-algorithms. Many famous public key crypto-schemes use the basics of number theory to share keys and decrypt and encrypt messages and multimedia. As a novel trend in the world of cryptography, non-classical integer systems, such as neutrosophic or plithogenic integers, are used for encryption and decryption. The objective of this paper is to provide the basic foundations of 2-cyclic refined number theory and linear Diophantine equations in two variables by building suitable algebraic isomorphism between the 2-cyclic refined integer ring and a subring of the direct product of Z with itself three times. Also, this work presents two novel crypto schemes for the encryption and decryption of data and information based on the algebraic properties of 2-cyclic refined integers, where improved versions of the El-Gamal crypto-scheme and RSA algorithm will be established through the view of the algebra and number theory of 2-cyclic refined integers. On the other hand, we illustrate some examples and tables to show the validity and complexity of the novel algorithms. [ABSTRACT FROM AUTHOR]

In security system, high utility pattern mining of a large number of users mobile trajectories is helpful to analyze user behavior patterns, and enhance the internal prevention of the security system.Currently, the frequent pattern mining for mobile trajectory in security systems do not take into account the differences in the safety levels between staying points and the frequency of their occurrence. Existing high utility mobile trajectory pattern mining methods are unable to discover staying points that meet specific user requirements. To solve these problems, a constraint-based high utility mobile trajectory mining algorithm is proposed (names as HUIM-ILC-ACO). It takes into account the user's stay time, stay frequency, and the safety level of each stopping point and calculates the utility value of each staying point by incorporating these factors through weighted computation. Based on this, the algorithm combines ant colony optimization with length constraints and item constraints to construct a method for mining high utility mobile trajectory patterns that better align with user interests. Experimental results on real datasets and a target mobile trajectory RFID dataset show that proposed algorithm is efficient in terms of runtime and pattern quantity, and it can effectively mine a pattern set that is closer to user interests. [ABSTRACT FROM AUTHOR]

Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Intelligent transport systems (ITS) have data collected from different sources intelligent modern movement systems and indexes should be determined for the evaluation of their impacts based on their data. There are several methodologies for the evaluation of their impacts on the traffic safety system. When considering Intelligent Transportation Systems (ITS) as one of the applied methods for the safety of the movement in the context of planning the movement through urban environments and other areas, it is clear to us that the efficiency of the ITS should be valued with full confidence. With the development and application of Intelligent Transport Systems (ITS), the following efficient and effective results are expected in terms of their impact on road safety, such as: • For a fast and efficient traffic system, • To increase safety in the traffic system, as well as • Reducing the number of traffic accidents. The purpose of this paper is how to introduce an effective and efficient Intelligent Transportation System (ITS), as well as its impact on increasing safety, reliability and reducing the number of traffic accidents. This paper will analyze the meaning of ITS as well as their impact on the traffic safety system. At the end of this paper, there will be a conclusion where it is determined how ITS can be applied in the safety system and their impact on this system, which has an impact on safety, reliability in traffic and in reducing the number of traffic accidents. [ABSTRACT FROM AUTHOR]

Copyright of Energy Policy Journal / Polityka Energetyczna is the property of Mineral & Energy Economy Research Institute of the Polish Academy of Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract Federal higher education institutions in Brazil have particularities in terms of construction, geographical location, use of buildings, organizational structures and allocation of budgetary resources. These characteristics make managing the Fire Protection System a significant challenge, requiring an even higher level of attention and commitment. This article aims to present data describing the current context of Fire Protection and Fire Fighting System management at Federal higher education institutions in Brazil (Federal universities and institutes). The data collection was a survey, in which 87 employees, representing 69 institutions, occupying the positions of Occupational Safety Engineer or Technician took part. Among the results, the following stand out: 51% of the institutions do not have a Fire Protection System Management Plan and 32% are in the process of creating one. All institutions inspect and maintain fire extinguishers; only a minority monitor other equipment. Operational routines are weakened by a lack of management (35%), financial resources (31%) and technical staff to carry out the service (24%). Only 9% of the institutions have a Fire Department Inspection Certificate for all their buildings and 5% have an active fire department in all their buildings. Only 9% of institutions have a Fire Department Inspection Certificate for all buildings and 5% have an active fire department in all buildings. The management of the Fire Protection System in Federal higher education institutions in Brazil faces significant challenges, including a lack of management plans, insufficient control of devices and limited resources, resulting in low compliance with fire safety regulations.

Writing Mandarin characters is considered the most challenging component for beginners due to the rules and character formations. This paper explores the potential of a machine learning-based digital learning tool to write Mandarin characters. It also conducts a comparative study between MobileNetV2 and MobileNetV3, exploring different configurations. The research follows the Multimedia Development Life Cycle (MDLC) method to create both application and machine learning models. Participants from higher education institutions that offer Mandarin courses in Batam, Indonesia, participated in a User Acceptance Test (UAT). Data were collected through questionnaires and analyzed using the System Usability Scale (SUS) methods. The results show positive user acceptance, with an SUS score of 77.92%, indicating a high level of acceptability. MobileNetV3Small was also preferred for recognizing user handwriting, due to comparable accuracy size, rapid inference time and smallest model size. Although the application was well received, several participants provided constructive feedback, suggesting potential improvements.

For any person, company or institution, to secure goods, data, information, different methods were sought and thus the idea of access control appeared. Access control can be done by mobile phone, PIN code, access cards and, perhaps, the most secure way, the biometric feature. Once this idea appeared, it was also desired to automate access, in addition to securing it, and thus, the concept of an access control system appeared. These systems are used on a large scale, both in the public and in the private sector, because they ensure the improvement of the level of protection. This work aims to present a fingerprint-based access control system and the steps that are the basis of its implementation, starting from the block diagram, the functional specifications, the electrical diagram and up to the improvements made to the microcontroller program in the system component.

The article is based on a study carried out as part of the Long-Term Organizational Development Plan project by the Center for Security and Military-Strategic Studies of the University of Defense entitled "Armed Conflict". As part of the study, the issue of strategic surprise was analyzed and assessed, the aim of which was to find causal mechanisms and connections between the security of state defense and the phenomenon of surprise in the conditions of the 21st century. The article deals with the issue of surprise and its impact on state defense security. It describes strategic surprise as a principled aspect with implications and impacts on state defense. It examines the issue of surprise as a principle of military art in the context of contemporary strategic thinking.

Güvenlik günümüzde en önemli sorunlardan birisidir. Kişilerin artan iş yükleri ve gündelik programlarının yoğunluğu yaşadıkları kişisel alanların güvenliklerini sağlamalarını zorlaştırmaktadır. Bu nedenle çoğu insan mesken ve ofislerine güvenlik sistemi oluşturma ihtiyacı hissetmektedir. Birçok akıllı ev sistemine dâhil edilmiş güvenlik sistemi bulunmaktadır. Akıllı güvenlik sistemleriyle özel mülke izinsiz girişleri takip edebilmekle birlikte gaz kaçağı, su baskını, yangın, deprem vb. gibi birçok durumdan uzaktan haberdar olunabilmektedir. Bu çalışmada düşük maliyetli GSM tabanlı bir ev güvenlik sistemi tasarımı yapılmıştır. Tasarım modüler bir yapıda ve genel amaçlı kullanıma uygun bir şekilde gerçekleştirilmiştir. Tasarlanan donanımda geniş voltaj aralığında analog ve dijital sinyal okuyabilecek girişler ve kuru kontak röle çıkışları mevcut bırakılmıştır. Böylece birçok sensor ya da aygıtın bu donanım ile birlikte kullanılabilmesi sağlanmıştır. İnsan vücudunun gözle görülemeyen kızılötesi formda bir miktar ısı enerjisi ürettiği olgusundan yola çıkılarak algılama ve alarm ve uyarı sistemi oluşturulması amaçlanmıştır. Tasarımda maliyeti etkileyecek en önemli malzemeler olan işlemci ve GSM modülün modüler olarak ayrı bir kartta toplanması sürekli artarak değişen malzeme fiyatlarına karşı hızlıca değişim yapabilme imkanı sağlaması bu çalışmanın özgün yanını oluşturmaktadır. Tasarımın sade olması ucuz bir işlemci ve GSM modül kullanılabilmesine imkân sağlamıştır. Ayrıca modüler yapı sayesinde fiyat artışlarında ya da 2G’den 4G’ye geçiş gibi teknolojik değişmelerde hızlıca dönüştürülebilir bir tasarım geliştirilmiştir. Bu çalışmanın ana senaryosu güvenlik sisteminin kurulduğu alanda ihlal algılandığında GSM alt yapısı kullanılarak ihlal durumunun belirlenmiş noktalara bildirilmesi şeklinde oluşturulmuştur ve düşük maliyetli bir tasarım olması ön planda tutulmuştur.

Security systems place great emphasis on the safety of stored cargo, as any loss or tampering can result in significant economic damage. The cargo identification module within the security system faces the challenge of achieving a 99.99% recognition accuracy. However, current identification methods are limited in accuracy due to the lack of cargo data, insufficient utilization of image features and minimal differences between actual cargo classes. First, we collected and created a cargo identification dataset named "Cargo" using industrial cameras. Subsequently, an Attention-guided Multi-granularity feature fusion model (AGMG-Net) was proposed for cargo identification. This model extracts both coarse-grained and fine-grained features of the cargo using two branch networks and fuses them to fully utilize the information contained in these features. Furthermore, the Attention-guided Multi-stage Attention Accumulation (AMAA) module is introduced for target localization, and the Multi-region Optimal Selection method Based on Confidence (MOSBC) module is used for target cropping. The features from the two branches are fused using a fusion branch in a Concat manner for multi-granularity feature fusion. The experimental results show that the proposed model achieves an average recognition rate of 99.58, 92.73 and 88.57% on the self-built dataset Cargo, and the publicly available datasets Flower and Butterfly20, respectively. This is better than the state-of-the-art model. Therefore, this research method accurately identifies cargo categories and provides valuable assistance to security systems.

Copyright of Public Administration & Civil Service / Memlekettìk Basķaru Ža̋ne Memlekettìk Ķyzmet is the property of Academy of Public Administration under the President of the Republic of Kazakhstan / Akademiya Gosun and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Machine Learning (ML), an intelligent system known for its capacity to automate procedures by discerning patterns pertinent to specific tasks such as detection, prediction, and pattern recognition, is increasingly being used to advance biometric technologies. Among these, facial recognition, a subset of computer vision-based biometrics, is emerging as a robust security measure. The present study is centered on the design of a room security system that leverages facial recognition, rooted in a Convolutional Neural Network (CNN) architecture. The CNN model was constructed within the Tensorflow framework, employing the Keras library and Scikit-learn, all embedded within a Raspberry Pi system. The model was trained on 15 registered face classes, with an additional three unregistered classes used for biometric security testing. Performance was evaluated using the False Acceptance Rate (FAR) and False Rejection Rate (FRR), metrics that assess the system's ability to accurately verify authorized and unauthorized users. Findings demonstrated that the CNN model achieved a 97% accuracy rate in facial identification. Furthermore, biometric security testing of the CNN model using room security devices yielded optimal results at a threshold of 90%, with FAR=26.67%, FRR=9.33%, and an Equal Error Rate (EER) of 21.33%. It was observed that factors such as lighting, data variation, resolution, and positional changes during data sampling could impact the system's performance in real-time operations. It is therefore recommended that data collection and facial scanning be consistently conducted under identical environmental conditions to enhance the accuracy of the system. This study signifies a substantial stride in the development of advanced room security systems, thus contributing to the broader realm of secure access control systems. [ABSTRACT FROM AUTHOR]

As a national interest of every country in the world, is to build an effective security system that will appropriately and timely respond to any security challenge. Experiences show that the security system is designed and built strategically and in long term, but modern risks and threats impose completely different dynamics where the security of the critical infrastructure and the vital national capacities are put in question. Modern global trends impose modern security challenges, due to which national structures must upgrade the security system in a daily basis for early detection and elimination of the new risks and threats. One of those global challenges is the current pandemic caused by COVID 19 that was initially detected as a health issue but for a short period of time made a real confusion in the security systems on a global level. Republic of North Macedonia did not remain immune to the stated security challenge. The functioning of the critical infrastructure takes place in conditions of a pandemic and the negative reflection from the consequences that the appearance of the virus left, is felt in the economic, security, political, sociological and cultural, and many other social segments. The state authorities in accordance to the World Health Organization are taking appropriate measures and activities to ensure the necessary level of protection of citizens and state capacities, but the determination whether that is enough will be made through the research that follows.

This study focused on the development and evaluation of an Improvised Motorcycle Anti-Theft Security System with SMS and Call Notification to help owners protect their motorcycles and reduce the theft related incidents in the Philippines. The researcher used the descriptive method of research with the twenty (20) computer engineers, electronic communication engineers and mechanics, twenty (20) Information and Communication Technology teachers, and the twenty (20) riders who own and use motorcycles as respondents. Based on the findings, it was found out that the Improvised Motorcycle Anti-Theft Security System with SMS and Call Notification cost two thousand one hundred fifty-three (Php. 2,153.00) for the Anti-theft device and two thousand one hundred forty (Php. 2140.00) for the mock-up device. In addition, the respondents evaluated it in terms of configuration, functionality, safety, economy, and efficiency as Highly Acceptable (HA) with general weighted mean ratings of 4.23, 4.83 and 4.93 and showed significant differences in their evaluations. Comments and suggestions were provided by the respondents for further improvement of the developed and evaluated product. [ABSTRACT FROM AUTHOR]

Currently, China is the largest consumer of titanium (Ti), yet the development of its Ti industry is limited by numerous factors, such as industrial structure imbalance. This study aimed to evaluate the security of China's Ti industry from 2010 to 2020, seeking to identify relevant issues and propose policy strategies. Firstly, a comprehensive evaluation system for Ti industry security was established, encompassing aspects of availability, economics, and sustainability. Secondly, the entropy weight technique for order preference by similarity to an ideal solution (TOPSIS) combination method and gray correlation method were employed to assess the safety level of China's Ti industry chain in each year from 2010 to 2020. Additionally, the coupling degree and sensitivity were used to analyze the dimension layers and index system to determine those that negatively impact the safety level of the Ti industry chain. The analysis results reveal that the economic level exerts a significant influence on the development of the Ti industry. Accordingly, under the same level of change, while considering availability, equal attention should be provided to economic considerations for a well-rounded evaluation of the industry's safety level. [ABSTRACT FROM AUTHOR]

Both technical and commercial businesses have become increasingly interested in blockchain technology. The Internet of Things (IoT) was established out of the interconnectedness of numerous new technologies, such as wireless technology, the Internet, embedded automation systems, and micro-electromechanical devices. Manufacturing settings and activities have been successfully altered into the fourth industrial revolution, known as Industry 4.0, by applying cutting-edge technologies such as cloud computing (CC), cloud service provider (CSP), Information communication technologies (ICT), and Enterprise Model, as well as other technological advancements. Data management is characterized as acquiring data to make better business decisions; data about a corporation is processed, secured, and stored. In the early notion, there were connected contrivances and Machine-to-Machine (M2M) interactions, and transaction data is recorded on the Blockchain. Security is a challenging subject that must be carefully considered throughout a CSP's design and development phases. By focusing on such issues while taking into account the traditional characteristics of IoT/ IIoT-predicated environments, we proposed a Secure and Distributed Framework for Resource Management (SDFRM) in Industry 4.0 environments within a distributed and collaborative Industry 4.0 system, the dynamic and trust-based Distributed Management Framework (DMF) of shared resource access, in this research article. Furthermore, to offer strong privacy assurances for Access Control (AC)-equivalent actions, a privacy-preserving approach is devised and implemented into the Distributed Management Framework (DMF). Based on blockchain technology and peer-to-peer networks, the recommended DMF provides for dynamic access control and system governance without relying on third-party vulnerabilities. A privacy-preserving technique is presented and implemented into the DMF to give adequate privacy safeguards for AC-related processes. With an average throughput of 98.15 percent, our proposal exceeds the Multichannel Blockchain regarding successful storage transactions. [ABSTRACT FROM AUTHOR]

The network security system is continuously advancing alongside technological developments. VPNs, which utilize open networks, aim to provide security by leveraging IPSec to transmit private data through L2TP tunneling strategy from the server to the branch computer/client and vice versa. Conversely, it can also lead to poor security practices. VPNs are implemented using the layer 2 IPSec tunneling protocol with two MikroTik devices. Testing is conducted to assess the security and speed of the network using the command line and MikroTik Winbox, where the server monitors packet delays to determine the improvement in network security quality. This research has identified several weaknesses in implementing this VPN protocol, namely the need for caution regarding the security of transmitted data to prevent misuse by the VPN provider. [ABSTRACT FROM AUTHOR]

For any person, company or institution, to secure goods, data, information, different methods were sought and thus the idea of access control appeared. Access control can be done by mobile phone, PIN code, access cards and, perhaps, the most secure way, the biometric feature. Once this idea appeared, it was also desired to automate access, in addition to securing it, and thus, the concept of an access control system appeared. These systems are used on a large scale, both in the public and in the private sector, because they ensure the improvement of the level of protection. This work aims to present a fingerprint-based access control system and the steps that are the basis of its implementation, starting from the block diagram, the functional specifications, the electrical diagram and up to the improvements made to the microcontroller program in the system component. [ABSTRACT FROM AUTHOR]

Generally, enterprises store data in internal storage and establish firewalls to protect against intruders attempting to access the data. In cloud computing, data is stored in storage provided by service providers. Information privacy protection involves storing data in encrypted form. The cloud system is responsible for both storage and the encryption or decryption of data, allowing system administrators to access encrypted data and decryption keys. This capability poses a risk to information privacy as it enables unauthorized access to information. This survey discusses Data Storage in Cloud Computing, focusing on the concept of storing encryption and decryption services alongside the storage service. Additionally, the survey examines storage system architecture, security challenges, services, and user application systems to provide a comparison of various cloud models. In addition to the fundamental aspects of data storage and encryption, this survey delves into the evolving landscape of cloud computing, addressing the dynamic nature of storage system architectures. Enterprises increasingly rely on cloud service providers for scalable and flexible storage solutions, prompting a critical examination of the security challenges associated with this paradigm shift. The survey examines how storage services in different cloud models affect user applications and privacy. It stresses the importance of understanding cloud providers' services amidst evolving technology and growing threats. The study delves into trends like edge computing and distributed storage, evaluating their impact on cloud storage security. Overall, it aims to provide a comprehensive overview for enterprises and researchers to make informed decisions on data security in Cloud Computing. [ABSTRACT FROM AUTHOR]

The objective of this paper is to present a novel application of 2-cyclic refined integers to build a novel crypto scheme for the encryption and decryption of data and information based on the algebraic properties of 2-cyclic refined integers combined with RSA algorithm, where an improved version of RSA crypto-scheme will be established and applied to the security of information and data. On the other hand, we illustrate some examples and figures to show the validity and complexity of the algorithm. [ABSTRACT FROM AUTHOR]

Copyright of Internal Security is the property of Police Academy in Szczytno and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The main research of the contribution is focused on the analysis of the position of women in the security sector of Ukraine from a qualitative and quantitative point of view. We will examine the course of this transformation from a historical point of view, from the formation of the Organization of Ukrainian Nationalists in 1929, during the World War II, to the invasion of the Russian Federation in 2014 and the war attack in 2022. We have come to the conclusion that the process of feminization is underway in the Ukrainian Armed Forces, which increases the quality of the given state structure and ensures equal rights and opportunities regardless of gender. [ABSTRACT FROM AUTHOR]