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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 12, ISSUE 2, FEBRUARY 2025

A Secure Messaging Platform with Advanced Protection Against MITM Attacks and Intrusion Detection/Prevention Using Machine Learning

Dr. S. Bala Priya, MCA., PhD., Baratam Sai anjan kumar, Paidi Akhil

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Abstract: Forti Chat is a secure messaging app that uses machine learning to integrate sophisticated intrusion detection and prevention while shielding messages from man-in-the-middle (MITM) assaults. Growing cyberthreats in today's digital environment necessitate strong security measures. Forti Chat uses machine learning to analyse user behavior and identify anomalies in real-time, improving threat detection and response. It also uses end-to-end encryption, which guarantees that messages are only accessible by the intended receivers. One of the main features is ephemeral messaging, which improves privacy by reducing data retention by deleting messages after a predetermined amount of time. Users may have private, secure talks without sacrificing convenience because to the platform's robust security measures and user-friendly design. While adaptive machine learning capabilities handle changing threats, thorough security audits and frequent updates provide resilience against new vulnerabilities. With a focus on privacy and innovation, Forti Chat is a dependable tool for both personal and professional communication, successfully protecting users from online risks and becoming a market leader in private messaging solutions.

Keywords: Secure Messaging, Man-in-the-Middle (MITM) Attacks, Intrusion Detection, Machine Learning, End-to-End Encryption, Ephemeral Messaging, Cybersecurity

How to Cite:

[1] Dr. S. Bala Priya, MCA., PhD., Baratam Sai anjan kumar, Paidi Akhil, “A Secure Messaging Platform with Advanced Protection Against MITM Attacks and Intrusion Detection/Prevention Using Machine Learning,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.12221

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.