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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42568
Volume:
9 |
3 |
Mar 2025
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.
â Email correspondence is still a vital part of online communication, but it is becoming more and more susceptible to dangerous links, phishing scams, and spam. This study reviews the body of research on cybersecurity, automated response systems, and email alert systems. We compare several methods with our system, which incorporates an automatic answering bot and a dangerous link detection model, by examining previous studies on SMS/email notifications, spoof detection, and machine learning-based email classification. The study presents our system as an effective, real-time solution for email security and automation while highlighting the advantages and disadvantages of current approaches.
KEYWORDS
Publication Date
3/18/2025
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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No funding information available for this research.
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