POSTER: Signal anomaly based attack detection in wireless sensor networks

Jeton Bacaj, Leon Reznik
2013 Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security - CCS '13  
This paper presents a feasibility study of novel attack detection mechanisms in wireless sensor networks (WSN) based on detecting anomalies and changes in sensor signals and data values. Typical WSN attacks are considered in the empirical study of various attack detection techniques utilizing features based on sensor signal strength and other WSN technological parameters and using machine learning classification techniques such as clustering, rule learners, and neural networks. For the attack
more » ... tection implementation the study employed WSN built from Sun kits available on the market and extended Sensor Network Anomaly Detection System (SNADS) framework of methods and tools.
doi:10.1145/2508859.2512508 dblp:conf/ccs/BacajR13 fatcat:3zygzi4adfgofaexpifjefoq4u