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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM60434
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.
An Advanced Phishing Detection System will be developed using the technologies of Natural Language Processing and Machine Learning to detect phishing attacks in email, text message, and URL. It involves processing of texts using the methods of Natural Language Processing, which include tokenization, removing stop words, and TF-IDF Vectorization to comprehend the message. The machine learning model can be implemented to classify messages as either phishing or safe with a high level of accuracy. The system also processes URLs according to their suspicious features including their length, special characters, and other features. Identified attacks are instantly detected and users receive notifications. Data security will be ensured by implementing input validation and protecting usersâ information.
KEYWORDS
Publication Date
4/16/2026
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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