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  Published Paper Details:

  Paper Title

Phishing Detection Using ML Based URL Classification

  Authors

  Ishan Bhise,  Soham Deo,  Debjyoti Mandal

  Keywords

machine learning, data mining, phishing URL, classification, binary classification problem, phishing detection.

  Abstract


This paper presents a Python-based solution for detecting illegal phishing attempts through email and URL analysis. The system employs two primary detection mechanisms: email content analysis and URL scanning. Leveraging machine learning algorithms and natural language processing techniques, the email analysis module identifies suspicious patterns, malicious links, and deceptive content within incoming messages. Concurrently, the URL detection component scrutinizes web addresses for signs of phishing activity, such as deceptive domain names and suspicious redirections. The integration of these two detection methods offers a comprehensive approach to identifying and mitigating phishing threats. Keywords: Phishing Detection, Python, Email Analysis, URL Scanning, Machine Learning, Natural Language Processing.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT24A4705

  Paper ID - 258332

  Page Number(s) - o825-o833

  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

  Ishan Bhise,  Soham Deo,  Debjyoti Mandal,   "Phishing Detection Using ML Based URL Classification", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.o825-o833, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A4705.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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