A Provenance Based Mechanism to Identify Malicious Packet Dropping Adversaries in Sensor Networks
Malicious packet dropping attack is a major security threat to the data traffic in the sensor network, since it reduces the legal network throughput and may hinder the propagation of sensitive data. Dealing with this attack is challenging since the unreliable wireless communication feature and resource constraints of the sensor network may cause communication failure and mislead to the incorrect decision about the presence of such attack. In this paper, the authors propose a data provenance based mechanism to detect the attack and identify the source of attack i.e. the malicious node. For this purpose, they utilize the characteristics of the watermarking based secure provenance transmission mechanism that they proposed earlier and rely on the inter-packet timing characteristics after the provenance embedding.