A Parametric Based Watermarking Technique for Detecting False Data Injection Attacks in Heterogeneous Wireless Sensor Networks

Abstract

The wireless sensor networks comprise of several tiny nodes that monitor the environment for useful applications. These networks are normally left unattended after the deployment. In such instance any attacker can compromise any node in the network with an intention of stealing the data from the network or sending false information to the end user. When a node sends the false or bogus packets to the base station, the attack is normally referred to as incorrect data injection attack. If the information obtained by the user is not correct, then the entire purpose of the network becomes zero. One of the existing techniques named Randomized watermarking based technique (RWFS) focused on detecting such an attack. In this technique, the watermark is embedded into the encrypted data packet randomly. This paper presents an extension to this method and proposed a approach called parametric watermark based filtering scheme (PWFS) by placing the watermarks at positions dependent upon the cluster parameters. Since the parameters of a particular cluster are exclusively independent of the other clusters, the position of the embed watermark becomes impossible to obtain and makes the technique more secure. In this, the watermark is embedded in the packet and the position of the watermark is obtained depend upon the average deviation including nodes from the CH. So, Technique has been evaluated based on overhead, filtering efficiency, network throughput and end to end delay. Working to improve these criteria allows one to determine that the suggested technique is superior to the current strategies.