International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Sep. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 90
Paper Published : 1248
No. of Authors : 3136
  Journal Paper

Paper Title
A Review On Intrusion Detection System Using Classification Technique

Abstract
Intrusion of cyber security are one of the main concerns in computer security, thus intrusion detection system are being developed. Intrusion Detection Systems (IDS) are now a standard component in network security framework and is essential to protect computer systems and network from various attacks. In past few years, intrusion detection using data mining has captured the attention of researchers. Every researcher proposes a different algorithm for distinct categories. Constructing classifier is another research challenge to build dynamic IDS. KDDCup 1999 intrusion detection dataset plays a vital role in calibrating intrusion detection system and is extensively used by the researchers working in the field of intrusion detection. This paper presents an overview of various IDS and detailed analysis of various techniques used for improving IDS. Keywords- SVM, ADTREE, NSL-KDD.


Author - Rajesh Wankhede, Vikrant Chole, Shruti Kolte

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| Published on 2015-12-15
   
   
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