CRDec 7, 2014

Analysis, classification and detection methods of attacks via wireless sensor networks in SCADA systems

arXiv:1412.2387v15 citations
Originality Synthesis-oriented
AI Analysis

This work addresses security vulnerabilities in SCADA systems, which are critical for industrial automation, but it appears incremental as it builds on existing classifications and reviews without presenting new experimental results or benchmarks.

The authors tackled the problem of detecting attacks on wireless sensor networks (WSN) in SCADA systems by developing a detailed classification of external attacks and describing their impacts on system components, while also reviewing intrusion detection methods and WIDS functions.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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