Detect Malicious URL Based On The Multi Social Media Application

Author(s)	P. Anuja, Madhan Kumar.s
Country	India
Abstract	Due to the fast development of social media sites, web links are being exchanged at a high rate among users. These platforms, while useful for communication, also provide opportunities for attackers to spread malicious URLs. This research proposes a system to detect malicious URLs shared across multiple social media applications by analyzing URL structure, webpage behavior, and classification techniques such as Hidden Markov Model and correlation-based analysis. The system helps identify and block harmful links, improving cybersecurity and protecting users from online threats.
Field	Computer
Published In	Volume 17, Issue 1, January-June 2026
Published On	2026-05-23
Cite This	Detect Malicious URL Based On The Multi Social Media Application - P. Anuja, Madhan Kumar.s - IJAIDR Volume 17, Issue 1, January-June 2026.

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Journal of Advances in Developmental Research