Analysis of Machine Learning Techniques for Intrusion Detection System: A Review

Analysis of Machine Learning Techniques for Intrusion Detection System: A Review
Author :
Publisher : Infinite Study
Total Pages : 11
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ISBN-10 :
ISBN-13 :
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Book Synopsis Analysis of Machine Learning Techniques for Intrusion Detection System: A Review by : Asghar Ali Shah

Download or read book Analysis of Machine Learning Techniques for Intrusion Detection System: A Review written by Asghar Ali Shah and published by Infinite Study. This book was released on with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: Security is a key issue to both computer and computer networks. Intrusion detection System (IDS) is one of the major research problems in network security. IDSs are developed to detect both known and unknown attacks. There are many techniques used in IDS for protecting computers and networks from network based and host based attacks. Various Machine learning techniques are used in IDS. This study analyzes machine learning techniques in IDS. It also reviews many related studies done in the period from 2000 to 2012 and it focuses on machine learning techniques. Related studies include single, hybrid, ensemble classifiers, baseline and datasets used.


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