Defending Against Collaborative Packet Drop Attacks on MANET

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Research Areas: End System Security

Principal Investigator: Bharat Bhargava

Detecting packet drop attacks is important for security of MANETs and current random audit based mechanism cannot detect collaborative attacks. In this paper, we design a hash function based method to generate node behavioral proofs that contain information from both data traffic and forwarding paths. The new method is robust against collaborative attacks described in the paper and it introduces limited computing overhead on the intermediate nodes. We investigate the security of the proposed approach and design schemes to further reduce the overhead.

Personnel

Students: Weichao Wang

Keywords: collaborative attacks, hash, security