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In recent years, artificial intelligence has become the most important topic when it comes to the use of future competitive information and communication technologies. The central challenge for future use of artificial intelligence is to develop suitable application scenarios, turn them into prototypes, and then, in the next decisive steps, develop operational applications that are productive. This paper aims to explore the competitive benefits of using artificial intelligence and suggest potential strategies for achieving business success. The results of the analysis showed that top companies are working to use artificial intelligence not only through people specializing in computer science and mathematics in operational processes but also, for example, through low-code environments to allow employees to gain their own experience in artificial intelligence management and get initial ideas implemented in prototypes. [ABSTRACT FROM AUTHOR]

This research examines the effect of having a tracking technology in a learning management system (LMS) that reports the effect of perceiving other students' interactions on a learner's intention to keep using LMS in the future. The main underlying theory is herd behaviour theory which argues that crowd behaviour affects the perceptions of the observers. In this paper, we proposed and found that tracking technology will affect a learner's perceptions of cognitive absorption and that perception of self-regulation from using an LMS. These perceptions are found to influence the learner's intention to keep using the LMS in the future positively. This research developed a new tracking technology in response to weaknesses noted in the literature and validated by interviewing teachers. Its effects were tested on 151 university students taking a computer science module. This research contributes to knowledge by integrating herd behaviour theory into the design of LMS and offers a new perspective on learners' interactions with educational technologies. [ABSTRACT FROM AUTHOR]

Fog computing as an extension of cloud computing has attracted maximum attention over the recent years due to its suitability and applicability. The Fog computing is identified to handle the issues of inadequate mobility support and location sensitiveness and maximized latency. In the Internet of Things (IoT), a collection of IoT devices needs to be connected to the Fog nodes for supporting the center of the cloud service to process and store partial data part in prior. This possibility of connecting IoT devices with Fog nodes has the maximum possibility of enhancing the service quality and minimize the pressure involved in data processing in real time. However, Fog nodes used in data processing are considered from a diversified number of challenging issues introduced by the privacy violation of IoT devices, modification attacks and false data injection attack. In this paper, a Verifiable Quaternion Fully Homomorphic Encryption (VQFHE) scheme is proposed for mitigating False Data Injection Attacks by means of privacy preservation and fault tolerance in Fog computing scenario. This proposed VQFHE scheme derives the benefits of Quaternions for ensures that data injection always happens from the legitimate devices, inspite to the honest or curious behavior of the cloud control center (CCC) and Fog nodes. The simulation results conducted using iFogSim simulator confirmed its predominance over the benchmarked schemes with respect to communication overhead and computation overhead. [ABSTRACT FROM AUTHOR]

The SNOW-V stream cipher is a candidate cipher for 5G mobile communication system, and the SNOW-Vi stream cipher is a faster variant of SNOW-V. In this paper, we analyze the resistance of the reduced-round SNOW-V and SNOW-Vi against the chosen IV differential distinguishing attacks in the initialization phase. Firstly, we use the divide-and-conquer strategy to give a Mixed-integer Linear Programming (MILP) model to describe the probabilities within the Differential Distribution Table (DDT) of large S-boxes, which can more accurately search the best differential characteristics of SNOW-V and SNOW-Vi than using the probability lower bound of the DDT in the original MILP model. Secondly, we point out that the registers R 1 , R 2 , R 3 of SNOW-Vi filled with 0 were not considered in the original MILP model, resulting in the MILP model may return impossible differential characteristics. Then, we give the splicing search technology of C program and MILP model to solve this problem. Thirdly, based on these two studies, we present a more efficient and accurate MILP model for searching the best differential characteristics of the reduced-round SNOW-V and SNOW-Vi. The improved MILP model reduces the complexity of the distinguishing attacks. Finally, we give two multiple differential attack techniques on SNOW-V/SNOW-Vi structure, and apply them to the reduced-round SNOW-V and SNOW-Vi, respectively. While improving the results of single differential attacks, we also reduce the complexity of differential attack on the 4-round SNOW-V from 2 97 to 2 59. 985 , which can give the effective attack under the data limitation 2 64 for the single key. In addition, we give the first differential attack on 5-round SNOW-Vi, and the time complexity and data complexity is 2 96. 84. The success rate is 0.97725. Although this has exceeded the data complexity limitation of the single key attack, it is meaningful for us to analyze the security of SNOW-Vi. [ABSTRACT FROM AUTHOR]

Boolean functions play essential roles in certain symmetric cryptographic schemes and error-correcting codes. Apart from the cryptographic criteria satisfied by Boolean functions, constructions of functions with few Walsh spectral value are also of particular interests in cryptographic applications. Due to the problem that the five-value spectrum functions with duals being not basic plateaued functions remains to be answered, in this paper we intend to investigate the construction on non-basic plateaued duals of five-value spectrum functions. The issue of constructing non-basic totally disjoint spectra plateaued functions is dealt with from two aspects. We firstly address the characterization of non-basic plateaued functions corresponding to Walsh supports with unequal cardinality. Then the necessary and sufficient conditions of the spectral design of a partially non-basic five-value spectrum function are proposed. Meanwhile, we also provide the sufficient condition for constructing a valid five-value spectrum function whose duals are both defined on non-affine subspaces. Finally, the design of totally disjoint spectra functions on non-affine subspaces with equal cardinality is also studied. [ABSTRACT FROM AUTHOR]

This paper introduces an improved version of the secure hash algorithms, SHA-1, and SHA-2. The proposed work produces a strengthened secure hash design using the fusion between the SHA-1 and SHA-2 hash standards. This design helps to protect the SHA-1 and SHA-2 against collision and length extension attacks. The proposed design is incorporated in the round steps of the hash functions using the function manipulators of the SHA-1 and SHA-2. Moreover, the proposed design employs a padding method that is different from the one used in the SHA-1 and SHA-2 construction. The proposed design is verified by the official test vectors that were confirmed by the National Institute of Standard and Technology. Moreover, the avalanche effect, hamming distance, and bit-hit properties were studied using different test cases. The proposed design gives over 52 percent of the avalanche effect and over 84 hamming distance. The proposed design was tested against collision attack and produced unique hash values for real collided examples and shows resistance against length extension attack. [ABSTRACT FROM AUTHOR]

Nowadays, advanced persistent threats (APTs) compromise critical large-scale networks more frequently, however, detecting these APTs is difficult. Since security sensors often miss some key steps of APTs, a lot of missed alerts exist. Moreover, large-scale networks often generate thousands of repeated alerts every day. To address this issue, a novel method for APT reconstruction in large-scale networks is proposed for attack forensics and traceability in this paper. Additionally, the proposed method consumes low transmission cost, and it doesn't require raw data from terminal devices, which makes it more appropriate for large-scale networks with numerous terminal devices. Specifically, an alert reduction and correlation method is first designed to reduce the alert volume. Then, these alerts are transformed into an alert graph, and the key missed alerts are obtained by searching history alerts and logs using Monte Carlo Tree Search (MCTS), which fast assembles multi-stage attacks with high confidence. The evaluation results on the modified CSE-CIC-IDS-2018 dataset indicate that the proposed method is robust against false negatives. Compared with other research, the proposed method has more advantages in efficiency and accuracy, and it can detect APTs within a longer time horizon. [ABSTRACT FROM AUTHOR]

Fully homomorphic encryption enables to perform arbitrary computations over encrypted data opening a new avenue for the secure outsourced computation in cloud computing. Data sorting is a classical computational problem in computer science. Previously, all the secure sorting algorithms based on fully homomorphic encryption made use of the bit-level encryption, which requires that each bit of the input data is encrypted separately. However, the bit-level encryption incurs expensive computational overheads and a large ciphertext expansion. In this paper, we propose a secure word-level sorting scheme based on fully homomorphic encryption. We introduce a set of novel techniques to design an efficient word-level sorting algorithm. These include a new technique to compare two encrypted integers, a constant extraction technique to postprocess the output ciphertext of the comparison algorithm, an equality test method to check whether two ciphertexts encrypt the same integer and the single instruction multiple data technique to reduce the ciphertext sizes and improve the computational performance. The experimental results show that our word-level sorting algorithm outperforms the state-of-the-art bit-level sorting algorithm by more than 10 times. [ABSTRACT FROM AUTHOR]