Survey of Data Mining (DM) and Machine Learning (ML) Methods on Cyber Security

Rahul D  Shanbhogue and B  M  Beena

doi:10.17485/ijst/2017/v10i35/118951

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Survey of Data Mining (DM) and Machine Learning (ML) Methods on Cyber Security

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2017/v10i35/118951

Year: 2017, Volume: 10, Issue: 35, Pages: 1-7

Original Article

Survey of Data Mining (DM) and Machine Learning (ML) Methods on Cyber Security

Rahul D. Shanbhogue and B. M. Beena

Department of CSE, New Horizon College of Engineering, Marathalli, Bangalore – 560103, India; [email protected],[email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

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.

Keywords: Anomaly Detection, Data-Mining (DM), Intrusion Detection System (IDS), Machine Learning (ML), Misuse Detection