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  Published Paper Details:

  Paper Title

Physical Layer Security: Detection Of Active Eavesdropping Attacks

  Authors

  Poovarasan G,  Girija V,  Vidhya sri G,  Dr.G. Singaravel

  Keywords

Edge Computing, Frothy Disturbance, Distributed Systems, FIDs, SVM.

  Abstract


Frothy Disturbance Intrusion Detection Systems (FIDSs) can help detect and prevent security attacks using the Support Vector Machine (SVM) algorithm. Recognizing the importance of FIDS in protecting various domains linked to the internet, we concentrate on adapting traditional intrusion detection methods for the landscape, which faces challenges such as resource constraints and limited memory and battery capacity. Our study entails the creation of a lightweight attack detection technique that uses a supervised machine learning-based FIDS using the SVM algorithm. We use simulations to demonstrate the usefulness of the proposed SVM-based FIDS classifier, which uses a combination of two or three complex features and achieves satisfactory classification accuracy and detection time. This strategy has the ability to enhance application security by effectively addressing the particular.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT24A4517

  Paper ID - 257675

  Page Number(s) - n169-n175

  Pubished in - Volume 12 | Issue 4 | April 2024

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Poovarasan G,  Girija V,  Vidhya sri G,  Dr.G. Singaravel,   "Physical Layer Security: Detection Of Active Eavesdropping Attacks", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.n169-n175, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A4517.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


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