Abstract
Wireless sensor networks (WSNs) applications have grown huge in the recent years. WSN is very popular due to its abilities to record, process, and transmit data related to various parameters of the environment. Due to WSN inherent nature, these networks are vulnerable to various types of attacks, especially at the network layer of the protocol stack in WSN. In this paper, an analysis about different security threats w.r.t different layers of the protocol stack using opportunistic routing (OR) is presented. The wireless nature and broadcast feature of WSN cause many attacks in the network layer and security of the transmitted data becomes an important issue. Different machine learning (ML) techniques are used for solving various security issues of the WSN. Also, in this paper, we focus on the analysis of different ML methods used for detection of security related attacks on the routing process in WSN.