Elimination of Black Hole and False Data Injection attacks in Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSNs) are currently being used in a wide range of applications that demand high security requirements. Since sensor network is highly resource constrained, providing security becomes a challenging issue. Attacks must be detected and eliminated from the network as early as possible to enhance the rate of successful transactions. In this paper, we propose to eliminate Black Hole and False Data Injection attacks initiated by the compromised inside nodes and outside malicious nodes respectively using a new acknowledge scheme with low overhead. Simulation results show that our scheme can successfully identify and eliminate 100 % black hole nodes and ensures more than 99 % packet delivery with increased network traffic. © 2013 Springer Science+Business Media New York.