COMPARITIVE ANALYSIS OF MACHINE LEARNING ALGORITHM FOR ANOMALY DETECTION: A LITERATURE SURVEY
Author(s):
Manohar Vemula, Shaik Balasaidulu
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.
Article Details
Unique Paper ID: 147169

Publication Volume & Issue: Volume 5, Issue 5

Page(s): 114 - 117
Article Preview & Download




Go To Issue



Call For Paper

Volume 5 Issue 7

Last Date 25 December 2018


About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Contact Details

Telephone:704 821 9842/43
Email: editor@ijirt.org
Website: ijirt.org

Policies