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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM61524
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In todayâs digital world, phishing attacks have become one of the most serious cybersecurity threats. Cybercriminals use fake emails, messages, and websites to trick users into sharing sensitive information such as passwords, bank details, and personal data. Traditional phishing detection methods are often unable to detect advanced and evolving attacks effectively. Artificial Intelligence (AI) combined with Natural Language Processing (NLP) provides a powerful solution to detect phishing attacks. NLP helps in analyzing the textual content of emails and messages to identify suspicious patterns,
KEYWORDS
Publication Date
4/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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