E. B. Aleksandrova, A. I. Bezborodko, D. S. Lavrova
{"title":"The Use of Generative-Adversarial Networks to Counter Steganalysis","authors":"E. B. Aleksandrova, A. I. Bezborodko, D. S. Lavrova","doi":"10.3103/S0146411624700937","DOIUrl":"10.3103/S0146411624700937","url":null,"abstract":"<p>An approach using a generative adversarial network (GAN) is proposed to increase the robustness of the steganographic method against modern steganalyzers. This approach is based on the combined operation of a GAN, a pixel importance map, and the least significant bit (LSB) substitution method. The results of the experimental studies confirmed the effectiveness of the proposed approach.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 8","pages":"1283 - 1288"},"PeriodicalIF":0.6,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the Method of Masking in the Multiple Signature Protocol Based on Isogenies of Elliptic Curves","authors":"E. B. Aleksandrova, S. O. Kostin","doi":"10.3103/S0146411624700950","DOIUrl":"10.3103/S0146411624700950","url":null,"abstract":"<p>Among the post-quantum algorithms selected by the National Institute of Standards and Technology (NIST) for standardization, the main mathematical apparatus is the mechanism of algebraic lattices, while the apparatus of hash functions is an alternative. Unlike isogenies of elliptic curves, these mechanisms use larger sizes of both public keys and signatures. Using the example of a multiple signature protocol based on isogenies of elliptic curves, we will show how, using the masking method, we can protect against the main attack on the given device, while obtaining a smaller signature size.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 8","pages":"1297 - 1302"},"PeriodicalIF":0.6,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. N. Ruchkin, V. A. Fulin, E. V. Ruchkina, D. V. Grigorenko
{"title":"Cluster Analysis of a Collective of Algorithms of Multicore Neural Network Automata and Robots on Chip","authors":"V. N. Ruchkin, V. A. Fulin, E. V. Ruchkina, D. V. Grigorenko","doi":"10.3103/S0146411624700780","DOIUrl":"10.3103/S0146411624700780","url":null,"abstract":"<p>In view of improved performance of new spheres and directions of social development, Russian government pays attention to robotization based on modern Russian hardware elements for the purpose of import substitution. In this regard, association of the notions of collective of algorithms, collective of automata, collective of robots, and artificial intelligence is one of the topical problems. Of special importance are the capabilities of cybernetic investigation of multicore neural network automata for the purpose of constructing more complex automata, robots, and the behavior of a collective of robots on their basis. The current paper is aimed at demonstrating the capabilities of the set-theoretic cybernetic approach to artificial and complex natural objects and systems on their basis and creating a conceptual model of selection and joint simultaneous design of hardware and software tools of neural network automata on the basis of unified study of parallelization processes in a collective of automata in the form of explicit and implicit clusterization. The options of structures of collective of algorithms for providing cybersecurity and protection against threats in the form of hierarchy of security provision practices are analyzed, shown, and proposed. The paper proposes a method for analyzing and selecting the best architecture of a multicore neural network collective of automata and a collective of robots based on automata implemented on chip. An expert system based on VLSI 1879VM8Ya (NM6408) with a developed user interface is implemented.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 8","pages":"1156 - 1163"},"PeriodicalIF":0.6,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Researching the Performance of AutoML Platforms in Confidential Computing","authors":"S. V. Bezzateev, G. A. Zhemelev, S. G. Fomicheva","doi":"10.3103/S0146411624701049","DOIUrl":"10.3103/S0146411624701049","url":null,"abstract":"<p>The paper is dedicated to testing the performance indicators of automatic machine learning platforms when they function in standard and confidential modes using the example of a nonlinear multidimensional regression. A general protocol of distributed machine learning trusted in the sense of security is proposed. It is shown that within the framework of confidential virtualization, when optimizing the architecture of machine learning pipelines and hyperparameters, the best quality indicators of generated pipelines for multidimensional regressors and speed characteristics are demonstrated by solutions based on Auto Sklearn compared with Azure AutoML, which is explained by different learning strategies. The results of the experiments are presented.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 8","pages":"1373 - 1385"},"PeriodicalIF":0.6,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. O. Kalinin, A. G. Busygin, A. S. Konoplev, V. M. Krundyshev
{"title":"Application of Distributed Ledger Technology to Ensure the Security of Smart City Information Systems","authors":"M. O. Kalinin, A. G. Busygin, A. S. Konoplev, V. M. Krundyshev","doi":"10.3103/S0146411624701001","DOIUrl":"10.3103/S0146411624701001","url":null,"abstract":"<p>This article discusses the ways of using distributed ledger technology to ensure the security of smart city information systems. The authors outline the limitations of the existing solutions in this area and the main directions of development of distributed ledger technology, determining its successful integration into the smart city ecosystem.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 8","pages":"1336 - 1342"},"PeriodicalIF":0.6,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detecting Attacks Using Artificial Neural Networks","authors":"I. A. Sikarev, T. M. Tatarnikova","doi":"10.3103/S0146411624700858","DOIUrl":"10.3103/S0146411624700858","url":null,"abstract":"<p>The developed neural network attack detection algorithm, whose peculiarity lies in the possibility of launching two parallel processes, is described: searching for the optimal model of an artificial neural network and normalization of the training sample data. It is shown that the artificial neural network architecture is selected taking into account the loss function for a limited set of attack classes. The application of TensorFlow and Keras Tuner libraries (frameworks) for the software implementation of an attack detection algorithm is shown. An experiment on the selection of neural network architecture and its training is described. The accuracy obtained in experiments is 94–98% for different classes of attacks.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 8","pages":"1218 - 1225"},"PeriodicalIF":0.6,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Method of Embedding Hidden Data into a Message Stream with Noise-Immune Encoding","authors":"S. V. Belim, S. A. Gorshkov","doi":"10.3103/S0146411624701062","DOIUrl":"10.3103/S0146411624701062","url":null,"abstract":"<p>This article proposes a model of embedding steganographic data into a message stream using noise-immune coding. The embedded data is disguised as noise in the message transmission channel. Extraction of the embedded message is based on the procedure of detecting corrupted bits using error-correcting codes. The presented model is related to key schemes. The stability of the scheme is based on the impossibility for the analyst to obtain complete information about the embedding. The model is universal and can be implemented in any network protocol using noise-immune codes.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 8","pages":"1392 - 1395"},"PeriodicalIF":0.6,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. F. Suprun, A. Yu. Garkushev, A. V. Vyvolokina, S. I. Fokina
{"title":"Application of Indicator Functions in Models of Detection and Neutralization of Harmful Information Objects","authors":"A. F. Suprun, A. Yu. Garkushev, A. V. Vyvolokina, S. I. Fokina","doi":"10.3103/S0146411624700883","DOIUrl":"10.3103/S0146411624700883","url":null,"abstract":"<p>This article proposes a new approach to the application of the well-known indicator function method, which is used to simulate the detection and neutralization of suspicious information objects in the information environment of an industrial enterprise, as well as to simulate a security system during operation. Formula dependencies are given for calculating stochastic indicators, allowing us to obtain some objective estimates of the values of time parameters and their influence on the safe functioning of information systems.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 8","pages":"1242 - 1249"},"PeriodicalIF":0.6,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Concept of Secure Distributed Ledger Technology in the Digital Environment of a Smart City","authors":"M. O. Kalinin, A. S. Konoplev","doi":"10.3103/S0146411624700731","DOIUrl":"10.3103/S0146411624700731","url":null,"abstract":"<p>The security of the main distributed consensus algorithms used in distributed legers in the digital environment of a smart city is analyzed. A new concept for protecting a smart city’s distributed legers is presented, which consists of using a hybrid distributed consensus protocol based on the joint use of a tangle-class algorithm and a proof-of-authority-class algorithm, protected by trusted computing and remote attestation technologies. The proposed protocol compensates for the weaknesses and vulnerabilities of the existing distributed consensus algorithms that are inherent in distributed ledger technology and hinder its widespread use in large digital environments of smart cities.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 8","pages":"1114 - 1118"},"PeriodicalIF":0.6,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detecting Defects in Multicomponent Software Using a Set of Universal Graph Representations of the Code","authors":"G. S. Kubrin, D. P. Zegzhda","doi":"10.3103/S0146411624700901","DOIUrl":"10.3103/S0146411624700901","url":null,"abstract":"<p>A comparison of the existing software analysis methods is presented with an assessment of the possibility of identifying defects contained in several components implemented in different programming languages. A set of three universal graph representations of code is proposed for implementing security analysis methods that take into account interactions between software components using different sets of programming languages. For the proposed universal code representations, a concept of a security analysis system and a prototype of the system implementation are developed, supporting cross-language analysis of the software components implemented in the programming languages PHP and C, as well languages using the .NET platform.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 8","pages":"1255 - 1262"},"PeriodicalIF":0.6,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}