‪Rafia Afzal‬ - ‪Google Scholar‬

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Citations	11	11
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202220234 7

Co-authors

Raja kumar MurugesanTaylor's University, MalaysiaVerified email at taylors.edu.my

Rafia Afzal

Rafia Afzal

Taylor's University Malaysia

Verified email at sd.taylors.edu.my

Machine Learning Artificial Intelligence Network Security


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Rule-Based Anomaly Detection Model with Stateful Correlation Enhancing Mobile Network Security. R Afzal, RK Murugesan Intelligent Automation & Soft Computing 31 (3), 2022	6	2022
Implementation of a malicious traffic filter using snort and wireshark as a proof of concept to enhance mobile network security R Afzal, RK Murugesan Journal of Telecommunications and Information Technology, 2022	5	2022
A Model to Detect Location Anomalies in a Cellular Network Using Travel Time and Distance Correlation R Afzal, RK Murugesan Advances in Cyber Security: Third International Conference, ACeS 2021 …, 2021		2021

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