Adversarial Modeling in WSN and its Application in Key Distribution

Abstract

Wireless sensor network (WSN) is the interconnection of very small sensors placed in hostile environments. It results in physically node capturing of a node. These further decreases the performance of key management scheme as number of captured nodes increases. In the paper, we approach the issue of node capturing from adversary view. Adversary is considered more intelligent and aims to capture less nodes with maximum destructiveness in the network. This reduces energy capturing cost of adversary in launching this attack. The proposed models exploit different vulnerable points in the networks to build a matrix based attack model. These use dominating set of nodes with node path vulnerability value to quantify the probability of network compromise. These also focus on low capturing cost nodes with high destructiveness in the network. Later, it also considers the travelling capturing cost which also be minimized. Thus all factors are used to compute final attack matrix. It is shown that above models have improved performance in damaging the network in terms of energy capturing cost and number of attacking rounds.