Indian Journal of Science and Technology
Year: 2017, Volume: 10, Issue: 35, Pages: 1-7
Rahul D. Shanbhogue and B. M. Beena
Department of CSE, New Horizon College of Engineering, Marathalli, Bangalore – 560103, India; [email protected],[email protected]
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.
Keywords: Anomaly Detection, Data-Mining (DM), Intrusion Detection System (IDS), Machine Learning (ML), Misuse Detection
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