Informatics and Applications
2026, Volume 20, Issue 3, pp 96-105
ATTACKS ON NETWORK-CENTRIC CONTROL SYSTEMS USING DECEPTION
- A. A. Grusho
- N. A. Grusho
- M. I. Zabezhailo
- A. A. Zatsarinny
- V. O. Piskovski
Abstract
The application of network-centric technologies in control and decision support systems is determined by the concept of development of monitoring of peripheral nodes of the network-centric system (NCS) as well as the conditions for ensuring information security. The work is devoted to one class of attacks on such systems, which uses hidden distortion of the properties of information necessary for proper monitoring and control. The main goal of the Center in the NCS is described as the main controlling cause, consisting of properties that ultimately generate controlling effects throughout the NCS. A mathematical model of the control actions in the NCS is constructed using directed acyclic graphs. Examples of attacks on the NCS, the possibility of their identification, and countering such attacks are considered. It is demonstrated how the prevention of the development of an attack can be provided by identifying the missing consequences of the correct property as well as the use of deceptive properties.
[+] References (18)
- Laznovsky, M. 2015. Da se "napichnout" psaci' stroj? KGB to dokazala. Idnes. Available at: https://www. idnes.cz/technet/vojenstvi/rusove-americanum- odposlouchavali-psaci-stroje.A151027_235308_ vojenstvLmla (accessed August 11, 2026).
- Melton, K., and V. Alekseenko. 2022. Shpionskie igry:
kak SShA vnedryali zhuchki v kopiroval'nye apparaty SSSR [Spy games: How the USA embedded bugs in Soviet copy machines]. TechInsider. Available at: https://www.techinsider.ru/technologies/164236-
est-li-v-vashem-printere-zhuchok/ (accessed August 11, 2026).
- Popov, I. 2004. Voyna budushchego: vzglyad iz-za okeana. Voennye teorii i kontseptsii sovremennykh SShA [The war of the future: A view from across the ocean. Military theories and concepts of the modern USA]. Moscow: AST; Astrel. 444 p. Available at: https://pub. wikireading.ru/84049 (accessed August 11, 2026).
- Makarchuk, I. L., and K. A. Trotsenko. 2022. Kharakter operatsiy sovremennykh armiy. Mul'tirazumnye setevye
voennye sistemy i taktika ikh deystviy [The nature of operations by modern armies. Multiintelligent network military systems and their action tactics]. Voyennaya mysl' [Military Thought] 11:13-31. EDN: IYRMEF.
- Tonkoshkurov, V. P. 2026. Novye tendentsii "novykh" voyn i ikh vliyanie na programmy vooruzheniy tekhnologicheski razvitykh gosudarstv mira [New trends in "new" wars and their impact on the arms programs of technologically advanced countries]. Problemy voyennoy bezopasnosti Rossii: vzglyad v budushchee: Mat-ly 11-y Mezhdunarodnoy mezhvedomstvennoynauchn.-praktich. konf. RARAN [Russia's military security issues: A look into the future: 11th Interdepartmental Scientific and Practical Conference (International) of the Russian Academy of Sciences Proceedings]. Moscow: MGTUim. N. E. Baumana. 1:59-78.
- Pospelov, G., and V. A. Irikov. 1976. Programmno-tselevoe planirovanie i upravlenie [Program and target planning and management]. Moscow: Sovetskoe radio. 440 p.
- Grusho, A. A., N. A. Grusho, M. I. Zabezhailo, A. A. Zatsarinny, and V. O. Piskovskii. 2026. Poisk anomaliy v setetsentricheskikh sistemakh upravleniya [Search for anomalies in network-centric control systems]. Informatika i ee Primeneniya - Inform. Appl. 20(2):82-88. doi: 10.14357/19922264260207. EDN: PPXIOI.
- Balke, A., and J. Pearl. 1994. Probabilistic evaluation of counterfactual queries. 12th National Conference on Artificial Intelligence Proceedings. Eds. B. Hayes-Roth and R. Korf. Menlo Park, CA: MIT Press. 1:230-237.
- Pearl, J. 1995. Causal diagrams for empirical research. Biometrika 82(4):669-688. doi: 10.2307/2337329.
- Pearl, J. 1996. Structural and probabilistic causality. Psychol. Learn. Motiv. 34:393-435. doi: 10.1016/S0079- 7421(08)60566-6.
- Pearl, J. 2019. The seven tools of causal inference, with reflections on machine learning. Commun. ACM 62(3):54- 60. doi: 10.1145/3241036.
- Abel, S., Y. Tang, J. Singh, and P. Paek. 2020. Applications of causal modeling in cybersecurity: An exploratory approach. Advances Science Technology Engineering Systems J. 5(3):380-387. doi: 10.25046/aj050349.
- Vivek, Y., V. Ravi, A. A. Mane, and L. R. Naidu. 2022. Explainable artificial intelligence and causal inference based ATM fraud detection. Cornell University. 34 p. Available at: https://arxiv.org/pdf/2211.10595 (accessed August 11, 2026).
- Grusho, A. A., N. A. Grusho, M. I. Zabezhailo, V. V. Kulchenkov, and E. E. Timonina. 2024. Vyyavlenie prichinno-sledstvennykh svyazey pri pokrytii prichin [Identification of cause-and-effect relationships when
covering causes]. Informatika i ee Primeneniya - Inform. Appl. 18(2):54-59. doi: 10.14357/19922264240208. EDN: MKXMZY.
- Downdetector Ookla. Real-time problem & outage monitoring. Available at: https://downdetector.com (accessed August 11, 2026).
- Sun, H., Z. Wang, J. Wang, Z. Huang, N. Carrington, and J. Liao. 2016. Data-driven power outage detection by social sensors. IEEE T. Smart Grid 7(5):2516-2524. doi: 10.1109/TSG.2016.2546181.
- Grusho, A. A., N. A. Grusho, M. V. Levykin, and E. E. Timonina. 2018. Metody identifikatsii zakhvata khosta v raspredelennoy informatsionno-vychislitel'noy sisteme, zashchishchennoy s pomoshch'yu metadannykh [Methods of identification of host capture in a distributed information system which is protected on the basis of meta data]. Informatika i ee Primeneniya - Inform. Appl. 12(4):39-43. doi: 10.14357/19922264180406. EDN: VOGJQB.
- Smirnov, D.V., A.A. Grusho, and M.I. Zabezhailo. 2024. K zadache identifikatsii sboev v informatsionno- tekhnologicheskoy infrastrukture putem monitoringa i analiza kosvennykh dannykh [To the problem of identifying failures in the information technology infrastructure by monitoring and analyzing indirect data]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 34(3): 14- 22. doi: 10.14357/08696527240302. EDN: QZYOGK.
[+] About this article
Title
ATTACKS ON NETWORK-CENTRIC CONTROL SYSTEMS USING DECEPTION
Journal
Informatics and Applications
2026, Volume 20, Issue 3, pp 104-109
Cover Date
2026-30-09
DOI
10.14357/19922264260310
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
information security; network-centric systems; anomalies; detection of anomalies
Authors
A. A. Grusho  , N. A. Grusho  , M. I. Zabezhailo  , A. A. Zatsarinny  , and V. O. Piskovski
Author Affiliations
 Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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