Intrusion Detection Techniques : A Review

Authors(2) :-Sandip Hingane , Dr. Umesh Kumar Lilhore

Now, these days Internet technology is widely used everywhere. Most of the Internet-based applications are publically available for all the users. This public nature of Internet-based applications increases security threats. So security of user data and information is an important issue and need high attention in the research area. An intrusion detection system is designed for detection and classification of various attacks. It classifies attacks into normal and abnormal classes. Intrusion detection systems are based on either host based or network based. Various data mining and machine learning methods are widely used by ID systems. In this paper, we are presenting a review of various intrusion detection methods.

Authors and Affiliations

Sandip Hingane
M. Tech Scholar, Department of CSE, NIIST Bhopal Madhya Pradesh, India
Dr. Umesh Kumar Lilhore
Head, Department of CSE, NIIST Bhopal Madhya Pradesh, India

Intrusion Detection, Network-Based, Host-Based, Data Mining, Machine Learning.

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 129-135
Manuscript Number : CSEIT183146
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sandip Hingane , Dr. Umesh Kumar Lilhore , "Intrusion Detection Techniques : A Review", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.129-135, January-February-2018.
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