An efficient voting based method to detect sink hole in wireless acoustic sensor networks.

Rapid growth in the development of wireless sensor networks (WSN) in the field of distributed audio signal processing is one of the critical research areas. Intruders can easily track the unprotected audio signals through sinkhole in WSN. To identify the source of the unauthorized audio signals can be retrieve using wireless acoustic sensor networks (WASN). Detection of sinkhole attacks in WASN is a challenging task as there exists centralized level of control only for the collecting the data. Since it is distributed in computation detection of a compromised node and alerting the other nodes in the network can be considered as a challenging issue in this research domain. In this paper, the detection of sinkhole attacks using voting-based method is implemented along with the optimization perspective. The main contribution of this paper is to adapt Artificial Bee Colony algorithm for effective generation of minimized Boolean key for sharing the suspect list among the alerted nodes. The experimental results of our proposed work has been evaluated and compared with the recent algorithms. The metrics used for evaluation are energy value of bee, overall network lifetime and authentication overhead. The performance shows the impact of the proposed algorithm on WSN scenario when compared to other existing algorithms. [ABSTRACT FROM AUTHOR]