Decentralised malicious node detection in WSN. (1st January 2014)

• Record Type: Journal Article
• Authors: Atassi, Alaa; Sayegh, Naoum; Elhajj, Imad H.; Chehab, Ali; Kayssi, Ayman
• Is Part Of: International journal of space-based and situated computing. Volume 4:Number 1(2014)
• Page Start: 15
• Page End: 25
• Publication Date: 2014-01-01
• Subjects: wireless sensor networks -- WSNs -- malicious nodes -- received signal strength indicator -- RSSI -- spoofing; Computer networks -- Periodicals; Wireless communication systems -- Periodicals; Interactive computer systems -- Periodicals; 004.6
• Languages: English
• ISSNs: 2044-4893

Abstract

The sensitive role that wireless sensor networks (WSNs) play in interpreting the environment characteristics and the need for ensuring the integrity of the sensor readings, necessitate the use of security mechanisms. One of the main security issues in WSNs is manifested when malicious nodes spoof their identities and locations. In this paper, we propose a decentralised malicious node detection technique based on the received signal strength indicator (RSSI). The method is probabilistic, taking into account shadowing and fading effects. An empirical pathloss model is generated at each node during a discovery phase. This method takes into consideration mobility, channel conditions, and network density among other factors. In addition, the developed technique is able to localise the detected node within a small area. Simulation results highlight the high detection rate of the method under varying conditions.