Analysis, classification and detection methods of attacks via wireless sensor networks in SCADA systems
Pavel Viktorovich Botvinkin, Valery Anatolevich Kamaev, Irina, Sergeevna Nefedova, Aleksey Germanovich Finogeev, Egor Alekseevich Finogeev

TL;DR
This paper investigates attack detection methods in wireless sensor networks within SCADA systems, providing a detailed attack classification, impact analysis, and reviewing intrusion detection techniques including WIDS, emphasizing human factors in security.
Contribution
It offers a comprehensive attack classification and impact analysis for WSN in SCADA, along with a review of intrusion detection methods and the role of human factors in security.
Findings
Developed detailed attack classification for WSN in SCADA.
Analyzed impacts of attacks on SCADA components.
Reviewed intrusion detection methods and highlighted human factors.
Abstract
Effectiveness of information security of automated process control systems, as well as of SCADA, depends on data transmissions protection technologies applied on transport environments components. This article investigates the problem of detecting attacks on WSN (wireless sensor networks) of SCADA systems. As the result of analytical studies the authors developed the detailed classification of external attacks on sensor networks and brought the detailed description of attacking impacts on components of SCADA systems in accordance with selected directions of attacks. Reviewed the methods of intrusion detection in wireless sensor networks of SCADA systems and functions of WIDS (wireless intrusion detection systems). Noticed the role of anthropogenic factors in internal security threats.
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Taxonomy
TopicsNetwork Security and Intrusion Detection · Smart Grid Security and Resilience · Advanced Malware Detection Techniques
