A lightweight threat detection system for industrial wireless sensor networks

Y.B. Saied (1) , A. Olivereau (2)

1 ENSI - École Nationale des Sciences de l'Informatique [Manouba]
2 DIASI (CEA, LIST) - Département Intelligence Ambiante et Systèmes Interactifs

Wireless Sensor Networks (WSNs) led the way to new forms of communications, which extend today the Internet paradigm to unforeseen boundaries such as eHealth, intelligent building or smart grid, to name a few. The legacy industry, however, is slower to adopt this technology, mainly for security reasons. Self-managed security systems allowing a quicker detection and better resilience to attacks, may counterbalance this reluctance. In this article, we propose a hybrid threat detection system that involves both centralized decision and local, per-cluster, work repartition and that is designed to run on top of industrial wireless sensor networks. Compared with the literature, we prove that this system is suitable for architectures mainly composed of constrained and sleeping devices, for which it achieves a fair level of autonomous security without prohibitively drawing out energy resources.

Mots clés: Intrusion detection; Intelligent buildings; Energy resources; Energy efficiency; Threat detection system; Wireless sensor network (WSNs); Wireless sensor networks; Autonomous security; Hybrid approach; Smart grid; Self-managed; Resource Constraint; Industrial wireless sensor networks

Domaines: Sciences de l'ingénieur [physics]; Informatique [cs]

Y.B. Saied, A. Olivereau. A lightweight threat detection system for industrial wireless sensor networks. International Journal of Network Security, 2016, 18 (5), pp.842-854. ⟨cea-01847288⟩