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  Published Paper Details:

  Paper Title

RECOGNITION OF ROGUE ACCESS POINTS USING A MACHINE LEARNING APPROACH

  Authors

  KASHYAP C. PATEL;,  AJAYKUMAR PATEL

  Keywords

Rogue AP, Rogue AP detection methods, ML based techniques, WLAN threat

  Abstract


The goal is to classify various types of wireless assaults, such as those that take advantage of vulnerable systems or rogue access points. There are a number of techniques that can be used to identify a rogue user at a specific point of entry. Such strategies and methods are quickly categorised into fundamental subfields, such as the client side, the server side, the wired side, the wireless side, the temporal aspects, etc. Every conceivable tactic has both advantages and disadvantages. The goal of this study is to discuss the difficulties and restrictions of existing strategies for detecting Rogue APs. Apply a machine learning (ML) technique to a real-time dataset constructed from these issues. With the use of ML-based methods, rogue APs were detected and analysed.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2212283

  Paper ID - 228929

  Page Number(s) - c663-c672

  Pubished in - Volume 10 | Issue 12 | December 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  KASHYAP C. PATEL;,  AJAYKUMAR PATEL,   "RECOGNITION OF ROGUE ACCESS POINTS USING A MACHINE LEARNING APPROACH", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 12, pp.c663-c672, December 2022, Available at :http://www.ijcrt.org/papers/IJCRT2212283.pdf

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


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