SPINS: security protocols for sensor networks
Wireless Networks
SIA: secure information aggregation in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
A probabilistic voting-based filtering scheme in wireless sensor networks
Proceedings of the 2006 international conference on Wireless communications and mobile computing
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Fuzzy logic based propagation limiting method for message routing in wireless sensor networks
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part IV
Key inheritance-based false data filtering scheme in wireless sensor networks
ICDCIT'06 Proceedings of the Third international conference on Distributed Computing and Internet Technology
Statistical en-route filtering of injected false data in sensor networks
IEEE Journal on Selected Areas in Communications
Location-based compromise-tolerant security mechanisms for wireless sensor networks
IEEE Journal on Selected Areas in Communications
A General Framework for Adaptive Filtering in Wireless Sensor Networks Based on Fuzzy Logic
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
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Sensor networks are often deployed in unattended environments, thus leaving these networks vulnerable to false data injection attacks. False data injection attacks will not only cause false alarms that waste real world response efforts, but also drain the finite amount of energy in a battery powered network. The key inheritance based filtering scheme can detect a false report at the very next node of the compromised node that injected the false report before it consumes a significant amount of energy. The choice of a security threshold value in this scheme represents a trade off between security and overhead. In this paper, we propose a fuzzy adaptive threshold determining method for the key inheritance based filtering scheme. The fuzzy rule based system is exploited to determine the security threshold value by considering the average energy level of all the nodes along the path from the base station to a cluster, the number of nodes in that cluster, and the number of compromised nodes. We also introduce a modified version of this scheme to reduce the overhead for changing the threshold value. The proposed method can conserve energy, while it provides sufficient resilience.