Publication

Abstract : Objectives: This paper is survey on how the Machine Learning (ML) and Data-Mining (DM) techniques have been employed to automate the cyber detection system and discusses necessary background knowledge on Cyber Security. Findings: After identifying various issues on cyber intrusion detection and security, also various Machine Language and Data Mining approaches that have been employed to resolve this. Analysis: This paper sheds light on complexities, peculiarities and potential of using ML Algorithms for Cyber Security. Application: The machine learning and data mining algorithms and procedures discussed below are applied in cyber security intrusion detection systems in real time scenarios.