STEF: A Secure Ticket-Based En-route Filtering Scheme for Wireless Sensor Networks
ARES '07 Proceedings of the The Second International Conference on Availability, Reliability and Security
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
LEDS: Providing Location-Aware End-to-End Data Security in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
A Multipath En-Route Filtering Method for Dropping Reports in Sensor Networks
IEICE - Transactions on Information and Systems
An immunity-based scheme for statistical en-route filtering in wireless sensor networks
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
Statistical en-route filtering of injected false data in sensor networks
IEEE Journal on Selected Areas in Communications
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In wireless sensor network, statistical en-route filtering (SEF) schemes can detect and eliminate false data injection attacks. However, SEF does not deal with the detection of the compromised nodes which are injecting false reports. In our previous studies, we have proposed an immunity-based SEF (ImSEF) to identify compromised nodes and achieve earlier detection of false reports. In ImSEF, each node assigns credibility to its neighboring nodes and updates the credibility based on the success or failure of filtering and communication. And then each node can use the updated credibility as the probability of the next communication. Preliminary simulation results against only one compromised node showed that ImSEF outperformed the original SEF. However, we have not yet analyzed the performance of ImSEF in detail. In this paper, we examine various attack scenarios and parameters settings for ImSEF. By the parameters analyses, some phase transitions can be interestingly observed. We also analyze and reconfirm the performance of ImSEF mathematically.