Title :
Combined Malicious Node Discovery and Self-Destruction Technique for Wireless Sensor Networks
Author :
Curiac, Daniel-Ioan ; Plastoi, Madalin ; Banias, Ovidiu ; Volosencu, Constantin ; Tudoroiu, Roxana ; Doboli, Alexa
Author_Institution :
Autom. & Ind. Inf. Dept., Politeh. Univ. of Timisoara, Timisoara, Romania
Abstract :
With the continuous development of the wireless technology, securing wireless sensor networks became more and more a crucial but also a demanding task. In this paper we propose a combined strategy that is meant to discover malicious nodes within a wireless sensor network and to expel them from the network using a self-destruction node technique. Basically, we will compare every sensor reading with its estimated value provided by an autoregressive predictor. In case the difference between the two values is bigger then a chosen threshold, the sensor node becomes suspicious and a decision block is activated. If this block decides that the node is malicious, a self-destruction procedure will be started against that specific node.
Keywords :
autoregressive processes; wireless sensor networks; autoregressive predictor; decision block; malicious node discovery; self-destruction node; sensor node; wireless sensor networks; Automation; Communication system security; Computer security; Cryptography; Femtocell networks; Informatics; Information security; Reverse engineering; Sensor phenomena and characterization; Wireless sensor networks; information security; malicious attacks; self-destruction; wireless sensor networks;
Conference_Titel :
Sensor Technologies and Applications, 2009. SENSORCOMM '09. Third International Conference on
Conference_Location :
Athens, Glyfada
Print_ISBN :
978-0-7695-3669-9
DOI :
10.1109/SENSORCOMM.2009.72