SIA: secure information aggregation in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
A dynamic en-route scheme for filtering false data injection in wireless sensor networks
Proceedings of the 3rd 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
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
IEEE Communications Magazine
Statistical en-route filtering of injected false data in sensor networks
IEEE Journal on Selected Areas in Communications
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Wireless Sensor Networks are vulnerable to false data injection attack, because they are often deployed in a hostile environment. Adversaries may attempt various security attacks on sensor networks through a compromised node, with the goal of deceiving the sink node or depleting the limited energy resources of nodes. The commutative cipher based enroute filtering scheme (CCEF) was proposed to detect and drop such false reports during the forwarding process. In this scheme, the number of message authentication codes (MAC) is important to detect false reports and save energy in the sensor network. In this paper, we propose a fuzzy efficient MAC length determination method for CCEF, in which the MAC length is adaptively determined by a fuzzy rule based system. The distance from the sink node to the cluster head (CH), the false traffic rate, and energy level are used to determine the MAC length through a fuzzy rule based system. We show the proposed method can save energy and provide sufficient resilience against false data injection attack.