Classification of communication lines and hardware devices as a basis for Detecting Unauthorized Connections
https://doi.org/10.21822/2073-6185-2026-53-1-40-48
Abstract
Objective. This article addresses the problem of automated detection of connections to wired communication lines, which is relevant in the context of increasing threats of hidden access.
Method. The study is based on methods of detection, identification, classification of threats to information security of objects.
Result. An extended classification of communication lines and connected devices is proposed, taking into account signal characteristics. The limitations of control methods, pulse reflectometry and frequency-parametric approaches are analyzed. A classifier structure has been developed that allows for the formation of reference signal profiles and the identification of deviations in real time. The approach improves the accuracy of remote identification, reduces the influence of the human factor, and creates the basis for intelligent monitoring systems. The robustness of the classification against environmental changes and interference is also discussed.
Conclusion. The results may be applied in automated control of communication line integrity.
About the Author
S. S. Vasichkin
M.A. Bonch-Bruevich Saint Petersburg State University of Telecommunications
Russian Federation
Russian Federation
Sergey S. Vasichkin, Postgraduate Student, Department of Secure Communication Systems,
22 Bolshevikov Ave., build. 1, St Petersburg 193232
References
1. Aleinikov A.A., Bilyatdinov K.Z., Krasov A.V., Levin M.V. Control, Measurement and Intelligent Traffic Management. St. Petersburg: Asterion, 2016; 92 p. ISBN 978-5-00045-385-8. – EDN WLROTL. (In Russ)
2. Orlov Yu.F. Active Identification of Control Objects. – Moscow: Bauman MSTU, 2010; 296 p. (In Russ)
3. Kuklin A.A., Kukushkin A.V. Radiotechnical Measurements:Textbook. Moscow: Radio i Svyaz, 2006;284 (In Russ)
4. Pozdnyakov S.A., Novikov Yu.A. Analysis of Electrical Circuits. Moscow: Vysshaya Shkola, 2008;368 p. (In Russ)
5. Gusev V.E., Trifonov Yu.I. Pulse Reflectometry. Moscow: Energiya, 1987; 214 p. (In Russ)
6. Bilyatdinov K.Z., Krasov A.V., Menyaylo V.V. Research of Systems and Analysis of Test Results. – St. Petersburg: Asterion, 2019; 362 p. – ISBN 978-5-00045-813-6. – EDN OXKBZW. (In Russ)
7. Orfanidis S.J. Electromagnetic Waves and Antennas [El. resource]. – Rutgers University, 2016; 954 p. – Available at: https://eceweb1.rutgers.edu/~orfanidi/ewa/ (accessed: 14.04.2025).
8. Kurose J.F., Ross K.W. Computer Networking:A Top-Down Approach. 8th ed. Boston:Pearson, 2020;896.
9. Kapralova I.A., Ignatiev M.S. Methods for Signal Analysis in Reflectometric Systems. Bulletin of Bauman Moscow State Technical University. Series: Radioelectronics. 2019;3:46–54. (In Russ)
10. Kamenev M.I., Belyakov E.I. Signals and Processes in Radiotechnical Systems. St. Petersburg: Lan’, 2004; 432 p. (In Russ)
11. Chernov I.I., Korzh V.Ya. Electromagnetic Compatibility: Textbook. Moscow: Goryachaya Liniya – Telekom, 2011;360 p. (In Russ)
12. Mukhina I.A. Analysis of Methods for Protecting Local Area Networks from Unauthorized Access. Information Technologies and Security. 2018;1(15):25–31. (In Russ)
13. Jones S.B., Wraith J.M., Or D. Time Domain Reflectometry Measurement Principles and Applications. Soil Science Society of America Journal. 2002; 66( 5):1479–1486.
14. Khromov S.P. Fundamentals of Analysis and Synthesis of Electrical Circuits. Moscow: Energoatomizdat, 2003; 408 p. (In Russ)
15. Krasilnikov V.I. Electromagnetic Transient Processes. Moscow: Akademiya, 2012; 304 p. (In Russ)
16. Petrenko P.B., Krivozubov P.A., Zaitsev D.I., Tokareva A.S. Improving the Accuracy of Reflectometry and Device Identification in Wired Communication Lines. Proceedings of SPIIRAS. 2011; 6:126–148. (In Russ)
17. Slovesnov N.A., Mirsatov S.F., Svetlichny V.V. Investigation of Equipment Identification Methods in Information Security Systems of Wired Communication Networks. Information Security of Telecommunication Systems. 2014; 4:53–60. (In Russ)
18. Identification of Parameters of Unintentional Electromagnetic Emission Sources in the Near Zone [El. resource]. https://mai.ru/upload/iblock/db3/db3e2997c3d7df16a90199a3df149a48.pdf (accessed: 14.04.2025).
19. Fundamentals of Identification Measurements. Journal of Radioelectronics [Electronic resource]. – Available at: https://jre.cplire.ru/iso/nov06/2/text.html (accessed: 14.04.2025).
20. Methods and Means for Protecting Telephones and Communication Lines / BNTI [Electronic resource]. – Available at: https://www.bnti.ru/showart.asp?aid=68&lvl=04.03.02.&p=1 (accessed: 14.04.2025).
21. Basic Principles of Signal Measurement and Analysis / KT-SPE Group [Electronic resource]. – Available at: https://kt-spegroup.ru/articles/osnovnye-printsipy-izmereniy-i-analiza-signalov/ (accessed: 16.04.2025).
22. Communication Line Protection – Bug Detection [Electronic resource]. – Available at: https://www.shpionam.net/zachita/zashhita-linij-svjazi (accessed: 16.04.2025). (In Russ)
23. Identification of Parameters of Unintentional Electromagnetic Emission Sources: Cand. tech. sci. diss. [El. resource]. https://www.dissercat.com/content/identifikatsiya-parametrov-istochnikov-pobochnykhelektromagnitnykh-izluchenii-po-izmereniya (accessed: 16.04.2025). (In Russ)
24. Information Security. Search Equipment [El.resource]. https://bezar.ru/zaschita-informacii-poiskovayatehnika (accessed: 18.04.2025). (In Russ)
Review
For citations:
Vasichkin S.S. Classification of communication lines and hardware devices as a basis for Detecting Unauthorized Connections. Herald of Dagestan State Technical University. Technical Sciences. 2026;53(1):40-48. (In Russ.) https://doi.org/10.21822/2073-6185-2026-53-1-40-48
Views:
123
JATS XML
Email this article 
