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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM24738
Volume:
7 |
7 |
Jul 2023
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.
Phishing is widely used to scam people around the world. This attack is mainly used to steal the user’s information such as Debit/Credit card, passwords and other sensitive data. This attack can be enforced on large mob at a time so, anyone can be target. This attack is initiated by sending a fake URLs through email, social media but link appears to be so genuine sent right from original organization Thus, user tempts to enter the information. In this article our team is going to handle this kind of attacks. Using Machine learning techniques, our web app is to going to detect whether it is a phishing link or not
KEYWORDS
Publication Date
7/24/2023
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.
Funding Information
No funding information available for this research.
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