{"title":"Protection of Neural Network Models from Privacy Breach Threats in Federated Learning Using Optimization Methods","authors":"D. S. Lavrova, P. D. Bezborodov","doi":"10.3103/S0146411625700749","DOIUrl":"10.3103/S0146411625700749","url":null,"abstract":"<p>This paper studies an approach to countering privacy breach threats in federated learning. The approach is based on optimization methods that transform the weights of local neural network models and create new weights for transmission to the joint gradient descent node, thereby preventing the interception of the local model’s weights by an attacker. The conducted experimental studies confirm the effectiveness of the developed approach.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"59 8","pages":"1224 - 1229"},"PeriodicalIF":0.5,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341660","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":"Predictive Analysis of Information Flows in Information Security Systems of Telecommunication Complexes","authors":"V. L. Gorbunov, A. I. Faizullina","doi":"10.3103/S0146411625700725","DOIUrl":"10.3103/S0146411625700725","url":null,"abstract":"<p>Key issues of information security are considered. The possibility of embedding protection into the system and the problems of network monitoring are discussed. The main security threats are identified. The possibilities of information protection and their reliability are studied.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"59 8","pages":"1209 - 1216"},"PeriodicalIF":0.5,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341756","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 for Predicting the Correlation Properties of Marker Bipolar Sequences in Digital Watermarking Using the Patchwork Method","authors":"M. V. Gofman, A. A. Kornienko","doi":"10.3103/S0146411625700968","DOIUrl":"10.3103/S0146411625700968","url":null,"abstract":"<p>This paper develops theoretical justifications and presents simulation results confirming the key influence of spreading bipolar sequences on the correlation properties of marker (spread) bipolar sequences. This study develops a method to predict the values of the normalized autocorrelation function of the marker sequence and also specifies the conditions for obtaining accurate predictions. This article also proves the existence of a relationship between the properties and characteristics of the cross-correlation function between the target (embedded) marker sequence and the tested sequence (distorted by noise or attacks) and the properties of the autocorrelation function of the embedded marker sequence. Finally, in the concluding part of the article, the indicators and criteria of robustness of spreading and marker bipolar sequences are formulated.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"59 8","pages":"1403 - 1414"},"PeriodicalIF":0.5,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341525","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":"Model of Interaction of Mobile Ad Hoc Network Nodes Taking into Account Protection against Active Network Attacks","authors":"M. A. Pakhomov","doi":"10.3103/S0146411625700877","DOIUrl":"10.3103/S0146411625700877","url":null,"abstract":"<p>The features of mobile ad hoc networks are examined. The models of node interaction in these networks are analyzed, taking into account protection against network attacks, and their advantages and disadvantages are identified. A model of node interaction in a mobile ad hoc network is proposed, taking into account protection against active network attacks based on early attack detection. Early detection of network attacks is achieved by predicting the network parameters and further analyzing them using machine learning methods. A trust model is also used to exclude malicious nodes from the network.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"59 8","pages":"1328 - 1337"},"PeriodicalIF":0.5,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341759","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":"Application of Convolutional Neural Networks to Increase the Security Level of Steganographic Methods","authors":"A. I. Bezborodko, M. A. Prisich","doi":"10.3103/S0146411625700993","DOIUrl":"10.3103/S0146411625700993","url":null,"abstract":"<p>This paper proposes an approach to increase the stealthiness of image steganography methods using convolutional neural networks (CNNs). CNNs are integrated into the data embedding process and help minimize the traces of hidden information that can be detected by steganalyzers. Two implementation variants are considered: based on the least significant bit (LSB) and discrete cosine transform (DCT) methods, as well as their modifications using CNNs. The task of ensuring the stealth and reliability of data embedding is solved in stages: the visual quality of the stego images, the reliability of message extraction, and resistance to detection by classical steganalysis methods are analyzed. The results of experiments on assessing quality and stealthiness confirm the effectiveness of the proposed approach.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"59 8","pages":"1440 - 1447"},"PeriodicalIF":0.5,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341472","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":"Detection of Potentially Malicious Activities in CI/CD Pipelines Based on Build Agent Behavior Analysis","authors":"E. V. Zhukovskii, V. A. Bugaev, A. A. Lyrchikov","doi":"10.3103/S0146411625700841","DOIUrl":"10.3103/S0146411625700841","url":null,"abstract":"<p>The problem of detecting potentially malicious activity in CI/CD pipelines during the build process using build agent behavior analysis is considered. The limitations of pipeline security tools related to threat detection during builds and promising approaches for detecting malicious activity are identified. A method for detecting potentially malicious activity in pipelines based on behavioral analysis using eBPF technology for build agent profiling is proposed. The accuracy of threat detection is evaluated on a dataset containing the implementation of malicious scenarios associated with the compromise of the build process. The obtained results can be used to build agent protection tools and for further research in the field of CI/CD pipeline security.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"59 8","pages":"1307 - 1314"},"PeriodicalIF":0.5,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341580","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":"Ensuring Byzantine Fault Tolerance of a Distributed Ledger in a Smart City Based on a Trust Model","authors":"M. O. Kalinin, V. M. Krundyshev, O. S. Vasil’ev","doi":"10.3103/S0146411625700865","DOIUrl":"10.3103/S0146411625700865","url":null,"abstract":"<p>This article examines the problem of ensuring Byzantine fault tolerance in the distributed ledger systems of a smart city. To improve the security of distributed ledger systems, it is proposed to use the Hashgraph distributed consensus protocol, in which events are organized as a directed acyclic graph and nodes exchange “gossip about gossip.” The traditional Hashgraph protocol is supplemented with a developed trust model that reduces the influence of malicious devices when reaching consensus in the digital infrastructures of a smart city.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"59 8","pages":"1322 - 1327"},"PeriodicalIF":0.5,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341636","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":"Automated Security Scanning and Analysis of Container Images","authors":"P. O. Semenov, S. A. Yudin, G. S. Kubrin","doi":"10.3103/S0146411625700816","DOIUrl":"10.3103/S0146411625700816","url":null,"abstract":"<p>The structure and composition of container images and associated security issues, as well as scanning methods for detecting vulnerabilities in container images, are analyzed. An approach is developed that eliminates the identified shortcomings. A software prototype for automated image security scanning with dynamic monitoring support is developed and tested.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"59 8","pages":"1285 - 1291"},"PeriodicalIF":0.5,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341652","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":"Ensuring the Cybersecurity of the Functional Network of CII Facilities Using the Optimal Honeypot Node Deployment Strategy","authors":"E. V. Zavadskii","doi":"10.3103/S0146411625701056","DOIUrl":"10.3103/S0146411625701056","url":null,"abstract":"<p>This article considers the problem of dynamically controlling a security system based on honeypot technology. To address this problem, a method is proposed to reduce the computing resource requirements and functions for assessing the criticality and risk of the compromise of nodes of the functional network infrastructure. The use of these functions makes it possible to take into account the specific characteristics of the implementation of technological processes and the dynamics of attack development.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"59 8","pages":"1491 - 1496"},"PeriodicalIF":0.5,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341661","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 for Detecting Latent Vulnerabilities at the Final Stage of Software Development","authors":"A. S. Cherevan’, A. P. Lapsar’","doi":"10.3103/S014641162570083X","DOIUrl":"10.3103/S014641162570083X","url":null,"abstract":"<p>A method for detecting and eliminating latent vulnerabilities in mobile applications at the final stage of development is presented. The nature of such vulnerabilities is analyzed and existing methods for their identification and neutralization are considered. The developed method is based on the analysis of the application’s state at different points in time and comparison with the reference state. Includes recording the initial state, discrete analysis of its changes, detection and identification of vulnerabilities, and their elimination. The main area of the application of the method is to ensure the security of mobile applications in the late stages of development and during final testing. The findings of the study highlight the importance of early detection of latent vulnerabilities to ensure a high level of information security of the final software product.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"59 8","pages":"1300 - 1306"},"PeriodicalIF":0.5,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341524","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}