Survey on Intrusion Detection System

Authors

  • Jesu Jayarin P  Associate Professor, Department of Computer Science Engineering, Jeppiaar Engineering College, Chennai, Tamil Nadu, India
  • Blessing Solomon. B. C.  PG Scholar, Department of Computer Science Engineering, Jeppiaar Engineering College, Chennai, Tamil Nadu, India

Keywords:

Anomaly Detection, Computer Security, Intruders, Intrusion Detection System

Abstract

Intrusion Detection Systems (IDSs) are a major line of defense for protecting network resources from illegal penetrations. A typical approach in interruption discovery models, particularly in irregularity recognition models, is to utilize classifiers as finders. Selecting the best set of features is central to ensuring the performance, speed of learning, accuracy, and reliability of these detectors as well as to remove noise from the set of features used to construct the classifiers. In most current systems, the features used for training and testing the intrusion detection systems consist of basic information related to the TCP/IP header, with no considerable attention to the features associated with lower level protocol frames. This survey paper aims at disclosing different strategies followed in Intrusion Detection Systems (IDSs) over the years. Due to the advancement in technologies, our coherent view is only on the latest trends.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Jesu Jayarin P, Blessing Solomon. B. C., " Survey on Intrusion Detection System , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1766-1774, March-April-2018.