Security Analysis of Cyber Attacks Using Machine Learning Algorithms in eGovernance Projects

Abstract

Different nations are striving to implement e-governance on a full scale. The major issue is the problem of secure transactions with high privacy. In order to make sure that the government is functioning properly, there must be a high level of transparency in the system with high accountability, integrity and confidentiality. The risks and challenges that arises by implementing the e-governance are chiefly because of the poor security in free WiFi networks which are given for accessing the e-services. Hence, researchers must develop methods and tools which can react to the attacks and defend themselves autonomously. This paper helps in analysis of few categories of cyber attacks using machine learning algorithms.