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Resistance of a Two-Component Steganographic System to Unauthorized Information Extraction 双组件隐写系统抵御未经授权的信息提取的能力
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-02-29 DOI: 10.3103/S014641162308028X
M. V. Shakurskii, O. A. Karaulova, E. S. Kartashevskaya
{"title":"Resistance of a Two-Component Steganographic System to Unauthorized Information Extraction","authors":"M. V. Shakurskii,&nbsp;O. A. Karaulova,&nbsp;E. S. Kartashevskaya","doi":"10.3103/S014641162308028X","DOIUrl":"10.3103/S014641162308028X","url":null,"abstract":"<p>In the classical sense, steganography does not pursue the goal of protecting information from extraction, but the use of a two-component steganographic system ensures not only information masking but also cryptographic strength. The article examines the resistance of the steganographic system for embedding a two-component container to information extraction.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"862 - 867"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140001810","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}
引用次数: 0
Assessing the Security of a Cyber-Physical System Based on an Analysis of Malware Signatures 根据恶意软件签名分析评估网络物理系统的安全性
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-02-29 DOI: 10.3103/S0146411623080175
D. A. Moskvin
{"title":"Assessing the Security of a Cyber-Physical System Based on an Analysis of Malware Signatures","authors":"D. A. Moskvin","doi":"10.3103/S0146411623080175","DOIUrl":"10.3103/S0146411623080175","url":null,"abstract":"<p>The structure and basic properties of a generalized cyber-physical system are studied. Information security problems and basic approaches to ensuring the cyber security of these systems are analyzed. A method based on the analysis of the indicators of compromise for assessing the degree of compromise of a generalized cyber-physical system is presented.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"894 - 903"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142414911","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}
引用次数: 0
Application of a Neocortex Model to Identify Contextual Anomalies in the Industrial Internet of Things Network Traffic 应用新皮质模型识别工业物联网网络流量中的上下文异常情况
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-02-29 DOI: 10.3103/S0146411623080163
G. A. Markov
{"title":"Application of a Neocortex Model to Identify Contextual Anomalies in the Industrial Internet of Things Network Traffic","authors":"G. A. Markov","doi":"10.3103/S0146411623080163","DOIUrl":"10.3103/S0146411623080163","url":null,"abstract":"<p>This paper examines the problem of identifying network anomalies when processing data streams in industrial systems. A network anomaly refers to a malicious signature and the current context: network environment and topology, routing parameters, and node characteristics. As a result of the study, it is proposed to use a neocortex model that supports the memory mechanism to detect network anomalies.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"1018 - 1024"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140888813","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}
引用次数: 0
Data Modeling in Big Data Systems Including Polystore and Heterogeneous Information Processing Components 大数据系统中的数据建模，包括多存储和异构信息处理组件
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-02-29 DOI: 10.3103/S0146411623080266
M. A. Poltavtseva
{"title":"Data Modeling in Big Data Systems Including Polystore and Heterogeneous Information Processing Components","authors":"M. A. Poltavtseva","doi":"10.3103/S0146411623080266","DOIUrl":"10.3103/S0146411623080266","url":null,"abstract":"<p>This paper is studies modeling data in big data systems, including polystores and other heterogeneous information processing components. Currently, several works propose to harmonize polystore data models in this domain. This study considers various proposed methods; however, these solutions are not suitable for direct use for solving information security problems. Requirements on modeling the considered objects for solving security tasks and the level-sensitive modeling method based on the general security concept of polystores within a consistent approach are formulated. This study presents an authentic classification of the structure of data models of modern polystores and DBMSs, taking into account the mathematical framework in use. A new methodology of three-level modeling of data and processes in an object for protection is proposed; and the basics of models for all data representation levels are formulated. The results of this study lay the foundation for the integrated representation of data and processes for solving security problems and analyzing the security of big data systems.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"1096 - 1102"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140888888","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}
引用次数: 0
Empirical Study of the Stability of a Linear Filter Based on the Neyman–Pearson Criterion to Changes in the Average Values 基于奈曼-皮尔逊准则的线性滤波器对平均值变化稳定性的实证研究
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-02-29 DOI: 10.3103/S0146411623080199
R. A. Ognev, D. P. Zegzhda
{"title":"Empirical Study of the Stability of a Linear Filter Based on the Neyman–Pearson Criterion to Changes in the Average Values","authors":"R. A. Ognev,&nbsp;D. P. Zegzhda","doi":"10.3103/S0146411623080199","DOIUrl":"10.3103/S0146411623080199","url":null,"abstract":"<p>The statement about the stability of a linear filter built based on the Neyman–Pearson criterion is verified by performing falsifying experiments. No relationship is found between the number of small eigenvalues of the noise covariance matrix and network stability.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"933 - 937"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140001603","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}
引用次数: 0
A Decentralized Approach to Intrusion Detection in Dynamic Networks of the Internet of Things Based on Multiagent Reinforcement Learning with Interagent Interaction 基于多代理强化学习与代理间交互的物联网动态网络入侵检测分散方法
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-02-29 DOI: 10.3103/S0146411623080096
M. O. Kalinin, E. I. Tkacheva
{"title":"A Decentralized Approach to Intrusion Detection in Dynamic Networks of the Internet of Things Based on Multiagent Reinforcement Learning with Interagent Interaction","authors":"M. O. Kalinin,&nbsp;E. I. Tkacheva","doi":"10.3103/S0146411623080096","DOIUrl":"10.3103/S0146411623080096","url":null,"abstract":"<p>The application of multiagent reinforcement learning technology to solve the problem of intrusion detection in the Internet of Things (IoT) systems is considered. Three models of a multiagent intrusion detection system are implemented: a completely decentralized system, a system with the transfer of forecast data, and a system with the transfer of observation data. The experimental results are given in comparison with the Suricata open-code intrusion detection system. The considered architectures of multiagent systems are shown to be free from the shortcomings of the existing solutions.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"1025 - 1032"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140888803","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}
引用次数: 0
Method for the Adaptive Neutralization of Structural Breaches in Cyber-Physical Systems Based on Graph Artificial Neural Networks 基于图谱人工神经网络的网络物理系统结构破坏自适应中和方法
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-02-29 DOI: 10.3103/S0146411623080011
E. B. Aleksandrova, A. A. Shtyrkina
{"title":"Method for the Adaptive Neutralization of Structural Breaches in Cyber-Physical Systems Based on Graph Artificial Neural Networks","authors":"E. B. Aleksandrova,&nbsp;A. A. Shtyrkina","doi":"10.3103/S0146411623080011","DOIUrl":"10.3103/S0146411623080011","url":null,"abstract":"<p>This paper presents a model of threats in cyber-physical systems (CPSs) with examples of attacks and potential negative consequences for systems for various purposes. It is concluded that the critical consequences of attacks are associated with data exchange breaches within a system. Therefore, the CPS security problem is confined to restoring the data exchange efficiency. To neutralize the consequences, which are negative for data exchange, it is proposed to use graph artificial neural networks (ANNs). The contemporary architectures of graph ANNs are reviewed. An algorithm for the generation of a synthetic training dataset is developed and implemented to model the network traffic intensity and load of devices in a system based on graph centrality measures. A graph ANN is trained for the problem of reconfiguring the graph of a CPS.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"1076 - 1083"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140888805","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}
引用次数: 0
Early Detection of Network Attacks Based on Weight-Insensitive Neural Networks 基于权重不敏感神经网络的网络攻击早期检测
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-02-29 DOI: 10.3103/S014641162308014X
D. S. Lavrova, O. A. Izotova
{"title":"Early Detection of Network Attacks Based on Weight-Insensitive Neural Networks","authors":"D. S. Lavrova,&nbsp;O. A. Izotova","doi":"10.3103/S014641162308014X","DOIUrl":"10.3103/S014641162308014X","url":null,"abstract":"<p>In this paper, we describe an approach for the early detection of network attacks using weight-insensitive neural networks (or weight agnostic neural networks (WANNs). The selection of the type of neural networks is determined by the specifics of their architecture, which provides high data-processing speed and performance, which is significant when solving the problem of the early detection of attacks. The experimental studies demonstrate the effectiveness of the proposed approach, which is based on a combination of multiple regression for selecting features of the training set and WANNs. The accuracy of attack recognition is comparable to the best results in this field with a significant gain in time.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"1047 - 1054"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140888809","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}
引用次数: 0
Searching for Software Vulnerabilities Using an Ensemble of Algorithms for the Analysis of a Graph Representation of the Code 利用分析代码图表示的算法组合搜索软件漏洞
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-02-29 DOI: 10.3103/S0146411623080126
G. S. Kubrin, D. P. Zegzhda
{"title":"Searching for Software Vulnerabilities Using an Ensemble of Algorithms for the Analysis of a Graph Representation of the Code","authors":"G. S. Kubrin,&nbsp;D. P. Zegzhda","doi":"10.3103/S0146411623080126","DOIUrl":"10.3103/S0146411623080126","url":null,"abstract":"<p>This article analyzes the existing methods for searching for software vulnerabilities. For methods using deep learning models on a graph representation of the code, the problem of imaginary relationships between procedures is formulated, which complicates their application to code analysis problems. To solve the formulated problem, an iterative method is proposed based on an ensemble of algorithms for analyzing the graph representation of the code. The method relies on a step-by-step narrowing of the set of code sections under consideration to increase the efficiency of using highly computationally complex methods. For the proposed method, a prototype of a system for searching for vulnerabilities for programs based on the .NET platform is presented, tested on a sample of NIST SARD and software with a large amount of code.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"947 - 957"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140888890","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}
引用次数: 0
Framework for Modeling Security Policies of Big Data Processing Systems 大数据处理系统安全策略建模框架
IF 0.6
AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-02-29 DOI: 10.3103/S0146411623080254
M. A. Poltavtseva, D. V. Ivanov, E. V. Zavadskii
{"title":"Framework for Modeling Security Policies of Big Data Processing Systems","authors":"M. A. Poltavtseva,&nbsp;D. V. Ivanov,&nbsp;E. V. Zavadskii","doi":"10.3103/S0146411623080254","DOIUrl":"10.3103/S0146411623080254","url":null,"abstract":"<p>This paper studies automatizing the analysis of access control in big data management systems by modeling security policies. It analyzes modern methods of ensuring access control in this class of systems, determines the respective requirements, and chooses the most advanced method for describing security policies as part of the solution in development. The task of modeling security policies in big data management systems is formulated. The architecture, the main components, and the general operating algorithm of the software framework for solving the task, as well as the experimental validation results, are presented. The strengths and weaknesses of the framework are assessed and ways for its further upgrade suggested.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"1063 - 1070"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140889680","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}
引用次数: 0
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