COMPARITIVE ANALYSIS OF MACHINE LEARNING ALGORITHM FOR ANOMALY DETECTION: A LITERATURE SURVEY

Authors

  • Shweta Verma Research Scholar Department of Computer Science and Engineering, Shri Shankaracharya Group of Institutions, Junwani, Bhilai (C.G.), India
  • Yamini Chouhan Assistant Professor Department of Computer Science and Engineering, Shri Shankaracharya Group of Institutions, Junwani, Bhilai (C.G.), India

Keywords:

Intrusion detection, KDD Cup 99 dataset.

Abstract

Intrusion detection system used to discover illegal and avoidable activities at accessing or manipulating
computer system. To improve system correctness and decrease false positive rate based on DARPA 98 and later the
updated version which shoes some arithmetic issues, researcher focuses on various dataset. Manu researchers give their
efforts to explore the dataset by different techniques. In this paper machine learning based methods which are one of the
types of anomaly detection, techniques are discussed.

Published

2017-04-25

How to Cite

Shweta Verma, & Yamini Chouhan. (2017). COMPARITIVE ANALYSIS OF MACHINE LEARNING ALGORITHM FOR ANOMALY DETECTION: A LITERATURE SURVEY. International Journal of Advance Engineering and Research Development (IJAERD), 4(4), 44–47. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/2439