Epidemic Node Replica Detection in Sensor Networks
A node replication attack against a wireless sensor network involves surreptitious efforts by an adversary to insert duplicate sensor nodes into the network while avoiding detection. Due to the lack of tamper resistant hardware and the low cost of sensor nodes, launching replication attacks takes little effort to carry out. Naturally, detecting these replica nodes is a very important task and has been studied extensively. In this paper, we propose a novel distributed, randomized sensor duplicate detection algorithm called Discard to detect node replicas in group-deployed wireless sensor networks. Our protocol is an epidemic, self-organizing, duplicate detection scheme which exhibits emergent properties. Epidemic schemes have found diverse applications in distributed computing and to the best of our knowledge, our algorithm is the first attempt at exploring the potential of this paradigm to detect replicas in a wireless sensor network. Through analysis and simulation, we show that our scheme achieves robust replica detection with substantially lower communication, computational and storage requirements than prior schemes in the literature.
Shashidhar, N., Kari, C., & Verma, R. (2014, May). Epidemic Node Replica Detection in Sensor Networks. Paper presented at the Second ASE International Conference on Big Data Science and Computing (27-31 May, 2014), Stanford, CA.
Virtual Commons Citation
Shashidhar, Narasimha; El Kari, Chadi; and Verma, Rakesh (2014). Epidemic Node Replica Detection in Sensor Networks. In Computer Science Faculty Publications. Paper 10.
Available at: http://vc.bridgew.edu/compsci_fac/10