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  Published Paper Details:

  Paper Title

Phishing Safeguard: Empowering Defenses with State-of-the-Art Detection Tools and Methods

  Authors

  Pooja Sharma,  Kiran bhai R Dodiya

  Keywords

Phishing detection, Cybersecurity,Machine learning, Natural language processing, Anomaly detection

  Abstract


Attacks through phishing continue to be an ample supply of fear on the subject of cybersecurity, considering that they could have affected businesses, and online planning mild of the fact that cybercriminals are constantly refining their methods, producing dependable phishing detection gear and approaches are necessary to combat those risks effectively This paper seeks to evaluate the contemporary kingdom of the art in phishing detection, highlighting current upgrades and the performance with which they were carried out. The studies investigate several methods: device mastering, natural language processing, anomaly detection, and behavioural analysis. In addition to this, it examines the many features, datasets, and evaluation standards that are used in phishing detection software. This evaluation highlights present-day tendencies, issues, and capability future directions for increasing the accuracy and efficiency of phishing detection structures. Specifically, the assessment specializes in improving the performance of phishing detection systems.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2309533

  Paper ID - 244270

  Page Number(s) - e392-e408

  Pubished in - Volume 11 | Issue 9 | September 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Pooja Sharma,  Kiran bhai R Dodiya,   "Phishing Safeguard: Empowering Defenses with State-of-the-Art Detection Tools and Methods", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 9, pp.e392-e408, September 2023, Available at :http://www.ijcrt.org/papers/IJCRT2309533.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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