This paper is published in Volume-2, Issue-3, 2016
Area
Computer Science and Engineering
Author
Aanchal Kumar
Co-authors
Er. Jaspreet Kaur, Er. Inderpreet Kaur
Org/Univ
Rayat Bahra Group of Institutes, Patiala,Punjab, India
Pub. Date
27 June, 2016
Paper ID
V2I3-1178
Publisher
Keywords
Intrusion Detection, Machine lLarning.

Citationsacebook

IEEE
Aanchal Kumar, Er. Jaspreet Kaur, Er. Inderpreet Kaur. Intrusion Detection System by Machine Learning-A Review, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Aanchal Kumar, Er. Jaspreet Kaur, Er. Inderpreet Kaur (2016). Intrusion Detection System by Machine Learning-A Review. International Journal of Advance Research, Ideas and Innovations in Technology, 2(3) www.IJARIIT.com.

MLA
Aanchal Kumar, Er. Jaspreet Kaur, Er. Inderpreet Kaur. "Intrusion Detection System by Machine Learning-A Review." International Journal of Advance Research, Ideas and Innovations in Technology 2.3 (2016). www.IJARIIT.com.

Abstract

Efficient intrusion detection is needed as a defense of the network system to detect the attacks over the network. A feature selection and classification based Intrusion Detection model is presented, by implementing feature selection, the dimensions of NSL-KDD data set is reduced then by applying machine learning approach, we are able to build Intrusion detection model to find attacks on system and improve the intrusion detection using the captured data. With the increasing number of new unseen attacks the purpose of this model is to develop a system for intrusion detection, and the model will be capable of detecting new and previously unseen attacks using the basic signatures and the features of known attack.
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