A Study on Malicious Node Detection in Different Application Domains

Nowadays security and privacy in online networks is always questionable due to various factors in terms of cyber security in the form of attackers present outside the network. In this paper we have taken malicious node detection as a major point of research and done a survey on existing technologies in malicious node detection. This paper we have analyzed applications were malicious node has to be detected. Malicious node detection solves the issue of security and privacy in networks by using various approaches such as federated learning, machine learning, differential privacy, convolution neural networks, and deep learning concepts. This paper is organized in to various focuses on introduction, literature survey, methodologies and its comparison, conclusion and future ideas.