Energy efficient fuzzy adaptive selection of verification nodes in wireless sensor networks

Abstract

In Wireless Sensor Networks, sensor nodes are highly vulnerable to several security attacks because they are usually installed in hostile environments. These energy and hardware–resource-constrained nodes, without suitable safeguards, may be compromised by adversaries. Adversaries launch two major types of attacks: false-report injection and false-vote injection attacks via these compromised nodes. These attacks drain significant amounts of energy and drop valid reports. PVFS11Probabilistic voting-based filtering scheme by F. Li et al. [1] counters these two major attacks. One of the reasons to launch false-report injection attack is to drain the energy resource of the entire network to render it unresponsive. We propose Fuzzy-based adaptive selection of the intermediate verification nodes in PVFS to achieve optimal energy savings. We demonstrate that our proposed method achieves better energy conservation in the presence of both the aforementioned security threats while providing the same high filtering control of the PVFS.