Efficient Geographical Information-Based En-route Filtering Scheme in Wireless Sensor Networks

• Chuanjun Yi,
• Geng Yang,
• Hua Dai,
• Liang Liu,
• Yunhua Chen,

Vol. 12, No. 9, September 29, 2018
10.3837/tiis.2018.09.005, Download Paper (Free):

• Wireless Sensor Network
• Geographical Information
• false data injection
• en-route filtering
• compromised node

Abstract

The existing en-route filtering schemes only consider some simple false data injection attacks, which results in lower safety performance. In this paper, we propose an efficient geographical information-based en-route filtering scheme (EGEFS), in which each forwarding node verifies not only the message authentication codes (MACs), but also the report identifier and the legitimacy and authenticity of locations carried in a data report. Thus, EGEFS can defend against not only the simple false data injection attacks and the replay attack, but also the collusion attack with forged locations proposed in this paper. In addition, we propose a new method for electing the center-of-stimulus (CoS) node, which can ensure that only one detecting node will be elected as the CoS node to generate one data report for an event. The simulation results show that, compared to the existing en-route filtering schemes, EGEFS has higher safety performance, because it can resist more types of false data injection attacks, and it also has higher filtering efficiency and lower energy expenditure.

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