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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
STUDIES OF TECHNIQUE USES A COMBINATION OF STATISTICAL AND FUZZY LOGIC METHODOLOGIES TO ASSESS THE PERFORMANCE OF A NETWORK FEATURE AGAINST A PARTICULAR TYPE OF ATTACK
Authors
NABONARAYAN JHA, AKHILESH KUMAR, M. KHAN
Keywords
STUDIES OF TECHNIQUE USES A COMBINATION OF STATISTICAL AND FUZZY LOGIC METHODOLOGIES TO ASSESS THE PERFORMANCE OF A NETWORK FEATURE AGAINST A PARTICULAR TYPE OF ATTACK
Abstract
To ensure that the selected features reasonably cover all the types of data that can be extracted at the network level, we propose a Feature Classification Schema for network features that is also intended to impose the first centralized standard in the research community regarding the various types and names of the network features. In this paper we study various tuning parameters that play a significant role in the performance of each feature. It is widely known that a poor tuning step will lead to poor detection performance, as opposed to a reasonable tuning that will significantly boost the attack detection chances. We explain our proposed feature evaluation technique. The technique uses a combination of statistical and fuzzy logic methodologies to assess the performance of a feature against a particular type of attack.
IJCRT's Publication Details
Unique Identification Number - IJCRT2012359
Paper ID - 204258
Page Number(s) - 3283-3286
Pubished in - Volume 8 | Issue 12 | December-2020
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
NABONARAYAN JHA, AKHILESH KUMAR, M. KHAN, "STUDIES OF TECHNIQUE USES A COMBINATION OF STATISTICAL AND FUZZY LOGIC METHODOLOGIES TO ASSESS THE PERFORMANCE OF A NETWORK FEATURE AGAINST A PARTICULAR TYPE OF ATTACK", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 12, pp.3283-3286, December-2020, Available at :http://www.ijcrt.org/papers/IJCRT2012359.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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