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Staff Information
Dr. Mohd Faizal Ab Razak
System Network & Security (SYSNETS)
His research interests include Intrusion Detection Systems, Intrusion Response Systems, and Network Security.
Cabin 102

Educational Background

Master of Computer Science from Universiti Malaysia Pahang in 2014 and a Ph.D. at the Faculty of Computer Science & Information Technology, University of Malaya.


Intrusion Detection Systems, Intrusion Response Systems, and Network Security.
Mobile Malware Detection Systems,
Risk Assessment Systems for Android Malware Application




1-The rise of “malware”: Bibliometric analysis of malware study, Journal of Network and Computer Applications, ISI-Q1, 2016;
2-Bio-inspired computational paradigm for feature investigation and malware detection: interactive analytics, Multimedia Tools and Applications, ISI-Q2, 2018;
3-Cost effective network flow measurement for software defined networks: A distributed controller scenario, IEEE Access,ISI-Q1, 2018;
4-Discovering optimal features using static analysis and a genetic search based method for android malware detection, Frontiers of Information Technology & Electronic Engineering, ISI-Q4, 2017;
5-Bio-inspired for features optimization and malware detection, Arabian Journal for Science and Engineering, ISI, 2017;
6-Detecting opinion spams through supervised boosting approach, PloS one, ISI-Q1, 2018;
7-Root Exploit Detection and Features Optimization: Mobile Device and Blockchain Based Medical Data Management, Journal of medical systems, ISI-Q2, 2018;
8- “Less Give More”: Evaluate and Zoning Android Applications,Measurement Journal, ISI-Q2,2018




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Faculty of Computing (FKOM)
College of Computing and Applied Sciences,

Universiti Malaysia Pahang
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Pahang Darul Makmur.

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