9004 2071-8217 4 2022 1-110

RAR RUS 9-19 13103571000 0000-0002-0232-7248 Peter the Great St. Petersburg Polytechnic University Zegzhda Dmitry zegzhda_dp@spbstu.ru

Russia, 195251, St. Petersburg, Polytechnicheskaya str., 29

Saurenko Tatyana 0000-0003-1736-7178 Peter the Great St. Petersburg Polytechnic University Anisimov Vladimir an‑33@yandex.ru 0000-0002-6527-2352 Peoples’ Friendship University of Russia named after Patrice Lumumba Anisimov Evgeny anis.an‑33@yandex.ru EVALUATION OF THE EFFECTIVENESS OF THE INFORMATION SECURITY SYSTEM The article discusses a methodological approach to building models for evaluating the effectiveness of programs (projects) for creating or upgrading an information security system inorder to ensure the stability and competitiveness of a company in the face of increasing threats to violate the integrity, confidentiality, availability and reliability of information that is essential for its activities. At the same time, the effectiveness of programs (projects) is understood as the degree of use of the opportunities allocated for their implementation of material, intangible and temporary resources to achieve the goals. In the mathematical formalization of the generalized performance indicator, it is taken into account that the implementation of technical, technological, organizational and other elements (activities) included in this program (project) is accompanied by the impact of many random factors affecting 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 in their implementation. 10.48612/jisp/9n2h-n5x8-2nfn 004.056 information security system of the company modernization program (project) performance indicator. https://jisp.spbstu.ru/article/2022.9.1/ 2022_4_short.pdf

RAR RUS 20-27 0000-0003-2393-9603 Samara State Technical University SHAKURSKIY Maxim vigorsilentium@mail.ru Povolzhskiy State University of Telecommunications and Informatics KARAULOVA Olga olya4369@yandex.ru State University of Telecommunications and Informatics KARTASHEVSKAYA Eugenia ka-es@bk.ru SECURITY OF A TWO-COMPONENT STEGANOGRAPHIC SYSTEM TO UNAUTHORIZED INFORMATION EXTRACTION In the classical sense, steganography does not aim to protect information from extraction, however, the use of a two-component steganographic system provides not only information masking, but also cryptographic strength. The article considers the stability of the steganographic system for embedding a two-component container to information extraction. 10.48612/jisp/n1dr-97bk-fzx2 621.372.552 two-component steganographic system masking of information information extraction security https://jisp.spbstu.ru/article/2022.9.2/ 2022_4_short.pdf

RAR RUS 28-34 Mozhaisky Military Aerospace Academy Glibovsky Pavel vka@mil.ru Mozhaisky Military Aerospace Academy Timashov Pavel vka@mil.ru Mozhaisky Military Aerospace Academy KOTENOK Igor METHODOLOGY OF EARLY DETECTION OF DDOS ATTACKS TO PROTECT INFORMATION INFRASTRUCTURE OBJECTS The approach of detecting the beginning of a DDoS attack by statistical methods, taking into account seasonality, is considered. The standard setting of limits on the number of requests associated with the occurrence of random triggers and various load of the web resource, depending on the time of day and days of the week, has a number of disadvantages. To optimize the process, it is proposed to use a floating estimate characterizing the current network activity based on the standard deviation (RMS), as well as taking into account seasonal fluctuations. A k-means clustering method for distributing client requests is proposed. The algorithm selects two clusters from mixed traffic. The first is a set of legitimate requests, the second is a set of malicious requests. The introduction of the proposed technique into the protection system, which takes into account the seasonality of DDoS attacks for various types of infrastructure objects, can increase the efficiency of detecting such attacks without increasing resource intensity 10.48612/jisp/6ed5-9p6x-uuf6 004.021 DDoS attack standard deviation seasonal fluctuations k-means https://jisp.spbstu.ru/article/2022.9.3/ 2022_4_short.pdf

RAR RUS 35-42 Peter the Great St. Petersburg Polytechnic University Eremenko Ilya eremenko.is@edu.spbstu.ru Fatin Aleksander sasha-fatin@mail.ru 0000-0003-1345-1874 Peter the Great St. Petersburg Polytechnic University Pavlenko Evgeny pavlenko_eyu@spbstu.ru CLUSTERING OF COMPUTER NETWORKS BASED ON THE BEE COLONY ALGORITHM The paper proposes a modification of the bee colony based network clustering method. This modification is aimed at reducing the number of community partitions and reducing the running time of the algorithm. Experimental studies on synthetic and real networks confirmed the validity of the proposed modification of the algorithm 10.48612/jisp/pbx4-zm55-zvem 004.056 community detection network clustering bee colony modular form https://jisp.spbstu.ru/article/2022.9.4/ 2022_4_short.pdf

RAR RUS 43-52 Mozhaisky Military Aerospace Academy Glibovsky Pavel vka@mil.ru Mozhaisky Military Aerospace Academy Serebryakov Petr Mozhaisky Military Aerospace Academy Timashov Pavel vka@mil.ru IDENTIFYING AND COUNTERING MALICIOUS INFORMATION IN SOCIAL NETWORKS The algorithm of ranking sources by potential used to identify malicious information in social networks and the algorithm of ranking countermeasures used to counteract it is considered. They allow you to achieve the required level of protection of users in social networks. Resource consumption, efficiency and objectivity were selected as indicators of the criteria for the effectiveness of the methodology processes. The resource consumption of processes is proposed to evaluate by indicators: «The use of the central processor device», «The use of RAM» and «Operator operation time». When comparing the processes with each other, we take the time of the measurements of the algorithm for ranking sources by potential and sorting the objects of influence 10.48612/jisp/7xhd-2nbh-t8hx 004.021 ranking potential countermeasure performance criteria https://jisp.spbstu.ru/article/2022.9.5/ 2022_4_short.pdf

RAR RUS 53-63 Krasnov A. IMITATIONAL SOFTWARE PACKAGE FOR RESEARCHING HIGHLY DETECTABLE STEGOSYSTEMS – HUGO SYSTEMS This article describes a simulation software designed to conduct research on highly undetectable stegosystems (so-called HUGO systems), the purpose of which is to increase the efficiency of the stegosystem with respect to the undetectability of hidden messages, provided they are transmitted in communication channels with a high noise level. To achieve this goal, this paper solves the problem of developing a software package that performs on the sender’s side discrete chaotic transformation of a secret message, then embedding it into a covering object using the ±1HUGO method and encoding, and on the recipient’s side decoding using a multi–threshold decoder, extracting a secret message and reverse discrete chaotic transformation. In addition, the software package must calculate performance indicators: the peak signal-to-noise ratio and the Pearson correlation coefficient of the covering object and the stego 10.48612/jisp/mnp8-pmu1-uxfd 519.7 ±1HUGO stegosystem self-orthogonal noise-tolerant code multi-threshold decoder discrete chaotic transformation Arnold Cat Map transform chaotic baker mapping https://jisp.spbstu.ru/article/2022.9.6/ 2022_4_short.pdf

RAR RUS 64-70 0000-0001-7758-097X ITMO University NOSKOV Ivan vanya170595@gmail.com 0000-0002-0924-6221 Saint Petersburg State University of Aerospace Instrumentation Bezzateev Sergey sergey.bezzateev@gmail.com

Russia, 190000, St. Petersburg, Bolshaya Morskaya str., 67, liter A

FINDING ENUMERATORS FOR A GENERALIZED (L, G)-CODE This article presents an algorithm for finding enumerators of the second degree and higher for a generalized (L, G)-code. This algorithm allows you to increase the speed of calculating enumerators, in contrast to the exhaustive search algorithm. This algorithm can be used to build a modern version of the McEliece cryptosystem. The above solution is based on using the method of representing an element of the Galois field through a function containing coefficients from a field of smaller size. This article also presents the results of a comparison of the modern McEliece cryptosystem built on Goppa codes and generalized (L, G)-codes 10.48612/jisp/p8xu-5ut2-zk7z 004.056.55 McAleese cryptosystem generalised (L G)-codes second-degree numerators. https://jisp.spbstu.ru/article/2022.9.7/ 2022_4_short.pdf

RAR RUS 71-88 0000-0002-0924-6221 Saint Petersburg State University of Aerospace Instrumentation Bezzateev Sergey sergey.bezzateev@gmail.com

Russia, 190000, St. Petersburg, Bolshaya Morskaya str., 67, liter A

0000-0003-1284-0915 Fomicheva Svetlana levikha@mail.ru 0000-0001-9665-0128 Peter the Great St. Petersburg Polytechnic University Suprun Alexander afs54@inbox.ru

Russia, 195251, St. Petersburg, Polytechnicheskaya str., 29

IMPROVING THE EFFICIENCY OF MULTI-AGENT INFORMATION SECURITY SYSTEMS USING POST-QUANTUM CRYPTOGRAPHY The paper analyzes the problems of ensuring information security in open multi-agent systems that use access control schemes based on RSA algorithms. It is shown that when using such schemes, a significant part of the agents ‘ lifetime is spent on authentication processes. To increase the efficiency of multi-agent systems by reducing the number of agent authentication processes, a method of access differentiation based on Goppa codes is justified and proposed. For the proposed methodology, an assessment of the level of security of agent information is given 10.48612/jisp/75dp-p3ed-hrmk 519.71; 621.391; 004.89 Cyber-Physical systems Mobile agents Access control mechanisms Efficiency of multiagent systems Goppa codes. https://jisp.spbstu.ru/article/2022.9.8/ 2022_4_short.pdf

RAR RUS 89-100 0000-0002-7485-4848 Peter the Great St. Petersburg Polytechnic University Aleksandrova Elena aleksandrova_eb@spbstu.ru 0000-0002-2141-6780 Peter the Great Saint-Petersburg Polytechnic University Shtyrkina Anna anna_sh@ibks.spbstu.ru ADAPTIVE NEUTRALIZATION OF CYBERPHYSICAL SYSTEMS STRUCTURAL BREACH BASE ON GRAPH ARTOFOCAL NEURAL NETWORKS The paper proposed a threat model of cyber-physical systems (CPS), with examples of attacks and consequences for systems for various purposes. It is concluded that the most critical consequences of attacks are related to the disruption of information exchange within the system Thus, the task of ensuring the security of the CPS is reduced to restoring the efficiency of information exchange. To neutralize the negative consequences for information exchange, it is proposed to use graph artificial neural networks (ANNs). A review of modern architectures of graph ANNs has been carried out. To generate a synthetic training dataset, an algorithm was developed and implemented that simulates the intensity of the network flow and the workload of devices in the system based on graph centrality metrics. A graph ANN was trained for the task of reconfiguring the graph of the CFS network 10.48612/jisp/ekxn-g747-kb13 004.056 cyberphysical systems graph theory spectral graph theory graph artificial neural network https://jisp.spbstu.ru/article/2022.9.9/ 2022_4_short.pdf

RAR RUS 101-109 57200960264 0000-0001-6289-3295 Russian State Hydrometeorological University Sikarev Igor sikarev@yandex.ru

Russia, 192007, St. Petersburg, Voronezhskaya str., 79

0000-0001-7601-2874 Profinfotech LLC Chestnov Arsenii arsenij430@gmail.com 0000-0003-0554-5790 Admiral Makarov State University of Maritime and Inland Shipping Abramov Valery val.abramov@mail.ru ASPECTS OF THE DEVELOPMENT AND FUTURE PROSPECTS OF THE PROGRAM FOR AUTOMATIC PROCESSING OF SATELLITE ARCHIVES OF HYDROCHEMICAL DATA IN THE PYTHON PROGRAMMING LANGUAGE This article describes in detail the process of creating a program written in the interpreted Python programming language. The function of this program is to automate the processing of satellite data archives on the content of chlorophyll, nitrates and phosphates to save time and prevent manual processing errors due to the human factor. The article describes in detail the program code, its segments and algorithms 10.48612/jisp/7747-zanp-m6dr 2.3.3 automation program Python hydrochemistry data processing https://jisp.spbstu.ru/article/2022.9.10/ 2022_4_short.pdf