Modeling and Simulation of False Report Filtering Scheme Based on Position in Wireless Sensor Networks

doi:10.16182/j.issn1004731x.joss.17-0043E

Abstract

Abstract: In wireless sensor networks, the adversary can inject false reports from compromised nodes. Previous security designs cannot detect faked reports that are forged coordinately by a group of compromised nodes. Furthermore, in sparse areas, some events failed to be reported to sink. This paper proposes a position based filtering scheme (PFS). It derives the optimal coverage degree ω, and the nodes are deployed accordingly. After deployment, each node distributes its position to some other nodes. When a report is generated for an observed event, it must carry t distinct MACs (Message Authentication Codes) along with positions of all detecting nodes. Each forwarding node verifies the correctness of MACs and positions, and checks the legitimacy of all locations attached in the report. Analysis and simulation results show that PFS outperforms existing schemes in terms of covering efficiency, compromise tolerance and filtering capacity.

Key words: wireless sensor network, false report injection, optimal coverage, position, compromise tolerance

CLC Number:

TP393

Liu Zhixiong, Li Limiao. Modeling and Simulation of False Report Filtering Scheme Based on Position in Wireless Sensor Networks[J]. Journal of System Simulation, 2019, 31(1): 27-35.

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