Sybil Attack Detection In Wireless Sensor Networks

Abstract

There are many vulnerabilities to attack in wireless sensor networks. Among them, the sybil attack is especially malicious to generate many false nodes and enter false information on the network. They are detrimental to many functions of the FSU, such as data pooling, fair distribution of resources, etc. Therefore, it is crucial to protect and detect Sybil attacks. The Sybil attack has a significant impact on network performance, and once it was detected, network performance will be obviously improving.In this article, we consider a new method of detecting Sybil attacks using random keys. In the proposed method, signs are used that there is a weak connection between the group of normal nodes and the group of false nodes. Experiment results show that the proposed method detects a false node with a probability of more than 90% with a small energy consumption.