Clone Attack Detection Using Pair Access Witness Selection Technique

Sensor nodes set out in malicious surroundings and are susceptible to pickup and pact. An intruder may reach confidential hidden particulars from these sensors, clone and cleverly spread out them in the network to put up a variety of insider attacks. This attack mode is mostly defined as a clone attack. We propose a new layout for clone attack detection that comes up with successful and well-organized technique called PAWS (Pair Access Witness Selection) technique to detect such clone attacks. Selecting common nodes in between the pairmate as a witness node is the key idea of PAWS to detect clones in the network. The witness selection plays a vital role to overcome the redundancy and reachability problem. The proposed framework results in detecting clones and detection performance depends on the proper selection of witness nodes. Performance analysis and simulations also reveal that our new scheme is more proficient than extant schemes from communication cost and energy consumption.