TITLE:
Malicious Node Detection Using Confidence Level Evaluation in a Grid-Based Wireless Sensor Network
AUTHORS:
Min-Cheol Shin, Yoon-Hwa Choi
KEYWORDS:
Sensor Networks; Malicious Node Detection; Grid-Based WSN; Faults; Confidence Levels
JOURNAL NAME:
Wireless Sensor Network,
Vol.5 No.3,
March
29,
2013
ABSTRACT:
In this paper, we present a malicious node detection scheme using
confidence-level evaluation in a grid-based wireless sensor network. The sensor
field is divided into square grids, where sensor nodes in each grid form a
cluster with a cluster head. Each cluster head maintains the confidence levels
of its member nodes based on their readings and reflects them in
decision-making. Two thresholds are used to distinguish between false alarms
due to malicious nodes and events. In addition, the center of an event region
is estimated, if necessary, to enhance the event and malicious node detection
accuracy. Experimental results show that the scheme can achieve high malicious
node detection accuracy without sacrificing normal sensor nodes.