{"title":"Monostatic Pulsed Ultrawideband Radar Antenna for Studying Biological Rhythms of the Human Body and Internal Inhomogeneities of Dielectric Objects","authors":"V. Aristov","doi":"10.3103/S0146411624010036","DOIUrl":"10.3103/S0146411624010036","url":null,"abstract":"<p>This paper presents a study of the prerequisites and the original way of transition from a quasi-monostatic antenna system to a monostatic one as applied to ultrawideband pulsed contact radar subsurface sounding at shallow depths. For this purpose, the joint application of ultrawideband electric “Bow-Tie” and magnetic “Bi-Quad” antennas is investigated. The mutual arrangement proposed in this work allows reducing to zero the distance between the centers of the antennas in the plane orthogonal to the direction of signal emission-reception. The results of full-scale tests with the corresponding processing of the obtained ensembles by the example of probing the human body for the detection and determination of the parameters of biological rhythms and a tree trunk 58 cm in diameter showed satisfactory results for the radar with a central frequency of 1.5 GHz. At the same time, the suppression of the useful signal received due to the application of the described design was only 2.3 dB at an acceptable level of the direct signal, which does not lead to overloading of the radar stroboscopic receiver input.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 1","pages":"101 - 108"},"PeriodicalIF":0.6,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140070657","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":"Research on Multisensor Data Fusion Model for Monitoring Animal Breeding Environment","authors":"Hanhua Yang","doi":"10.3103/S0146411624010103","DOIUrl":"10.3103/S0146411624010103","url":null,"abstract":"<p>A two-level multisensor data fusion model is proposed to monitor animal breeding environment. The effectiveness of various sensors is judged by the first level of analysis, and the data are screened by calculating the optimal fusion set. The probability distribution function is calculated using fuzzy membership degree and the final decision is obtained using an improved information fusion approach based on D-S evidence theory by the second level of analysis. Conflict allocation is more reasonable when using the improved D-S and the fusion effect is better. Therefore, the real state of the piggery environment can be obtained based on the fusion result, so as to perform corresponding operations on the field equipment.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 1","pages":"23 - 32"},"PeriodicalIF":0.6,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140070659","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}
D. P. Zegzhda, T. N. Saurenko, V. G. Anisimov, E. G. Anisimov
{"title":"Assessment of the Effectiveness of an Information Security System","authors":"D. P. Zegzhda, T. N. Saurenko, V. G. Anisimov, E. G. Anisimov","doi":"10.3103/S0146411623080345","DOIUrl":"10.3103/S0146411623080345","url":null,"abstract":"<p>This article discusses a methodological approach to building models for assessing the effectiveness of a program (project) for creating or modernizing an information security system in the interests of ensuring the sustainability and competitiveness of a company in the face of increasing threats to the integrity, confidentiality, availability, and reliability of information that is important for its activities. At the same time, the effectiveness of a program (project) is understood as the degree of use of the opportunities allocated for their implementation of material, intangible, and temporary resources to achieve the set goals. When mathematically formalizing a generalized efficiency indicator, it is taken into account that the implementation of technical, technological, organizational, and other elements (events) included in this program (project) is accompanied by the influence of many random factors influencing the achievement of their particular goals. The proposed generalized indicator provides a dominant assessment of the effectiveness of programs (projects) taking into account the risks during their implementation.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"855 - 861"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142414749","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}
I. A. Sikarev, T. V. Vekshina, V. A. Bol’shakov, E. M. Korinets
{"title":"Current Trends in Methods of the Efficient Automation of Data Processing","authors":"I. A. Sikarev, T. V. Vekshina, V. A. Bol’shakov, E. M. Korinets","doi":"10.3103/S014641162308031X","DOIUrl":"10.3103/S014641162308031X","url":null,"abstract":"<p>This article considers the problem of automating the determination of daily water discharge rates based on continuously measured levels and individual water discharge measurements using discharge curves (DCs), which are the most basic characteristic of river (and floodplain) channel capacity and are widely used in river flow analysis and hydraulic calculations. Conclusions on the optimal analytical representation of the DC and the possibilities of constructing a universal model of hydrometric flow analysis are presented.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"875 - 880"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142414942","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":"Approach for Protecting Mobile Device User’s Data Based on Multifactor Authentication, Visual Cryptography, and Steganography","authors":"N. N. Shenets","doi":"10.3103/S0146411623080291","DOIUrl":"10.3103/S0146411623080291","url":null,"abstract":"<p>An approach is proposed to protect user’s personal data stored on mobile devices running the Android OS, which combines multifactor authentication, secret sharing, visual cryptography, and steganography; and it also uses the built-in security features of the operating system. It ensures the confidentiality of personal data even if both the mobile device and the related remote storage (server) are compromised.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"886 - 893"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142414943","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":"Analysis and Forecasting of States of Industrial Networks with Adaptive Topology Based on Network Motifs","authors":"E. Yu. Pavlenko","doi":"10.3103/S0146411623080229","DOIUrl":"10.3103/S0146411623080229","url":null,"abstract":"<p>This article proposes an approach to study states of complex industrial networks with adaptive topology based on network motifs: statistically significant subgraphs of a larger graph. The presented analysis concerns the applicability of network motifs to characterizing the system’s performance and for short-, medium-, and long-term forecasting of system states. A smart grid network structure is used as an example: it is represented as a directed graph, in which the most frequent motifs are identified; several scenarios of attacks on network nodes are modeled, and a forecast of the network state is compiled. The results of experimental studies demonstrate the accuracy and consistency of the application of this mathematical tool to the considered problems.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"1084 - 1095"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140888820","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}
D. S. Lavrova, V. M. Bogina, D. P. Zegzhda, E. Yu. Pavlenko
{"title":"Probabilistic Approach to Estimate the Cyber Resistance of Mobile Networks Based on Their Connectivity","authors":"D. S. Lavrova, V. M. Bogina, D. P. Zegzhda, E. Yu. Pavlenko","doi":"10.3103/S0146411623080151","DOIUrl":"10.3103/S0146411623080151","url":null,"abstract":"<p>In the paper, we propose an approach to estimate the cyber resilience of mobile networks based on an estimate of the probability that the network will remain connected in the face of random movement of its nodes. The approach is aimed at countering attacks specific to mobile networks by capturing and impersonating one or more nodes, as a result of which the network loses the ability to perform its target function.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"1103 - 1115"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140001604","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":"Risk Assessment of Using Open Source Projects: Analysis of the Existing Approaches","authors":"M. A. Eremeev, I. I. Zakharchuk","doi":"10.3103/S0146411623080059","DOIUrl":"10.3103/S0146411623080059","url":null,"abstract":"<p>This article analyzes the existing approaches to assess and account for the components used in software, including open source software. The existing frameworks for assessing software development processes, including information security, are analyzed. The typical risks of using open source components and free licenses are considered. The possibility of assessing development processes to identify threats to information security in open source projects and the need to automate this process in order to ensure the efficiency of dependence management in projects that use open components as dependencies are noted.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"938 - 946"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140889950","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":"Confidentiality of Machine Learning Models","authors":"M. A. Poltavtseva, E. A. Rudnitskaya","doi":"10.3103/S0146411623080242","DOIUrl":"10.3103/S0146411623080242","url":null,"abstract":"<p>This article is about ensuring the confidentiality of models using machine learning systems. The aim of this study is to ensure the confidentiality of models when using machine learning systems. This study analyzes attacks aimed at violating the confidentiality of these models and methods of protection from this type of attack, as a result of which the task of protecting against this type of attack is formulated as a search for anomalies in the input data. A method is proposed for detecting abnormalities in the input data based on the statistical data, taking into consideration the resumption of the attack by the intruder under a different account. The results obtained can be used as a base for designing components of machine learning security systems.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 8","pages":"975 - 982"},"PeriodicalIF":0.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140889776","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. V. Shakurskii, O. A. Karaulova, E. S. Kartashevskaya
{"title":"Resistance of a Two-Component Steganographic System to Unauthorized Information Extraction","authors":"M. V. Shakurskii, O. A. Karaulova, 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}