Edu-SafeLink: Education Simplified Mobile-Based Malicious URL Detection

Rajeswari Raju, Amirul Hakimi Asmadi, Sritharan Sangaran, Sharifah Nurulhikmah Syed Yasin, Ahmad Ihsan Mohd Yassin, Omkarra Nair, Trishul Nair and Swasztika Nair
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Rajeswari Raju: Faculty of Computer and Mathematical Sciences, University Technology MARA, Cawangan Terengganu, Kampus Kuala Terengganu 21080 Kuala Terengganu, Terengganu, Malaysia
Amirul Hakimi Asmadi: Faculty of Computer and Mathematical Sciences, University Technology MARA, Cawangan Terengganu, Kampus Kuala Terengganu 21080 Kuala Terengganu, Terengganu, Malaysia
Sritharan Sangaran: PETRONAS Chemical Olefins Sdn Bhd, PCOGD(M), Malaysia
Sharifah Nurulhikmah Syed Yasin: Faculty of Computer and Mathematical Sciences, University Technology MARA, Cawangan Terengganu, Kampus Kuala Terengganu 21080 Kuala Terengganu, Terengganu, Malaysia
Ahmad Ihsan Mohd Yassin: Microwave Research Institute, University Technology Mara, Malaysia College of Engineering, University Technology Mara (UiTM), Malaysia
Omkarra Nair: SMK Sultan Omar, DESSO, Dungun, Terengganu, Malaysia
Trishul Nair: SMK Sultan Omar, DESSO, Dungun, Terengganu, Malaysia
Swasztika Nair: SJKC Kwang Hwa, Dungun, Terengganu, Malaysia

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 3s, 6782-6790

Abstract: In today's education world, the growing prevalence of phishing attacks, especially those targeting mobile users via deceptive URLs, poses a significant threat to cybersecurity and individual privacy. Existing URL detection methods are largely manual, requiring users to copy and paste suspicious links into web-based checkers, which is an impractical and time-consuming solution during urgent situations. This research introduces Edu-SafeLink, an educational mobile-based application designed to simplify and automate the detection of malicious URLs using lexical text mining and the Random Forest algorithm. Targeting Malaysian educational users who are frequently targeted by phishing. Edu-SafeLink enables real-time URL scanning when a link is clicked, whether from messaging apps or QR codes, by intercepting and analysing it in the

Date: 2025
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