Defending Against Collaborative Packet Drop Attacks on MANET
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.
Students: Weichao Wang
Keywords: collaborative attacks, hash, security