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  Published Paper Details:

  Paper Title

A DETAILED SURVEY ON INTRUSION DETECTION SYSTEM BASED ON NSL-KDD DATASET USING VARIOUS APPROACH

  Authors

  Ms. Shivangi Soni,  Prof. Chetan Gupta,  Prof. Shivendra Dubey

  Keywords

KDD, IDS, Dos, Probe, R2L, U2R

  Abstract


Focusing on the deficiencies of conventional intrusion detection model, several researchers propose the intrusion detection system based on data mining technology. It solves the problem that self-adaptability of the system is poor, and the conditions of misreport or omission are also further improved. However, as far as mass data are concerned, more and more resources need to be consumed in the intrusion detection system based on data mining technology, and the detection speed gets slower and slower. One more thing arises when we think of the above approach when we create the clusters of same thing for easy generation of patterns in future we not always find the good result. Because each time the support is different and according to the support pruning value is also changed. So we need to process the rule generation dynamic, which solves the above problem and based on that we achieve different results on different conditions.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2105592

  Paper ID - 207349

  Page Number(s) - 408-412

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Ms. Shivangi Soni,  Prof. Chetan Gupta,  Prof. Shivendra Dubey,   "A DETAILED SURVEY ON INTRUSION DETECTION SYSTEM BASED ON NSL-KDD DATASET USING VARIOUS APPROACH", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.408-412, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105592.pdf

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ISSN: 2320-2882
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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