Research output per year
Research output per year
Personal profile
Biography
I am an Assistant Professor at Heriot-Watt University’s School of Mathematical and Computer Sciences (MACS) and Year 4 co-ordinator. I completed my PhD in Computer Science from Heriot-Watt University in 2024, specializing in Android malware detection using machine learning techniques. I have 5 years of industry experience working as an AI Engineer, researching and developing AI solutions.
Research interests
My primary research area is AI applications in cybersecurity, particularly Android security using machine learning.
Roles & Responsibilities
Year 4 coordinator MACS
Year 3 group project coordinator
Fingerprint
Dive into the research topics where Ali Muzaffar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Android Malware Detection Using Control Flow Graphs and Text Analysis
Muzaffar, A., Riaz, A. H. & Hassen, H. R., 8 Sept 2023, Proceedings of the International Conference on Applied Cybersecurity (ACS) 2023. Zantout, H. & Ragab Hassen, H. (eds.). Springer, p. 10-20 11 p. (Lecture Notes in Networks and Systems; vol. 760).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection
Muzaffar, A., Ragab Hassan, H., Zantout, H. & Lones, M. A., 8 Sept 2023, Proceedings of the International Conference on Applied CyberSecurity (ACS) 2023. Zantout, H. & Ragab Hassen, H. (eds.). Springer, p. 3-9 7 p. (Lecture Notes in Networks and Systems; vol. 760).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile2 Citations (Scopus)24 Downloads (Pure) -
Android Malware Detection Using API Calls: A Comparison of Feature Selection and Machine Learning Models
Muzaffar, A., Ragab Hassan, H., Lones, M. A. & Zantout, H., 2 Feb 2022, Proceedings of the International Conference on Applied CyberSecurity (ACS) 2021. Ragab Hassen, H. & Batatia, H. (eds.). Springer, p. 3-12 10 p. (Lecture Notes in Networks and Systems; vol. 378).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile1 Citation (Scopus)201 Downloads (Pure) -
An In-Depth Review of Machine Learning Based Android Malware Detection
Muzaffar, A., Ragab Hassan, H., Lones, M. A. & Zantout, H., Oct 2022, In: Computers and Security. 121, 102833.Research output: Contribution to journal › Article › peer-review
Open AccessFile48 Citations (Scopus)202 Downloads (Pure)
Datasets
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Android dataset for malware detection
Muzaffar, A. (Creator), Ragab Hassan, H. (Contributor), Lones, M. A. (Contributor) & Zantout, H. (Contributor), Heriot-Watt University, 2024
Dataset