Projects per year
Personal profile
Research interests
Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment, IT Discipline. He is acyber security researcher and practitioner with industry and academic experience. His research is multidisciplinary that focuses oncyber security and digital forensics of computer systems including current and emerging issues in the cyber environment like cyber-physical systems and internet of things, by taking into consideration the unique challenges present in these environments, with a focus on cybercrime detection and prevention. Assoc. Prof. Alazab received hisPhD degree in Computer Science and has more than 100 research papers. He presented at many invited keynotes talks and panels, at conferences and venues nationally and internationally (22 events in 2018 alone). He is a Senior Member of the IEEE. He is an editor on multiple editorial boards including Associate Editor of IEEE Access (2017 Impact Factor 3.557), Editor of the Security and Communication Networks Journal (2017 Impact Factor: 0.904) and Book Review Section Editor: Journal of Digital Forensics, Security and Law (JDFSL).
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Projects
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IAS Rainmaker Start Up: ARC-Linkage Industrial Transformation Research Hub
Campbell, H., Levick, S., Lassa, J., Luttig, D., Badenhop, R., Brandner, R., Thennadil, S., De Boer, F., Fairfield, C., Wallace, R., Thomas, D., Gorham, G., Alazab, M. & McCarthy, K.
19/11/18 → 30/12/20
Project: Other
Research output
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Adversarial Defense: DGA-Based Botnets and DNS Homographs Detection Through Integrated Deep Learning
Ravi, V., Alazab, M., Srinivasan, S., Arunachalam, A. & P. Soman, K., 12 Mar 2021, In: IEEE Transactions on Engineering Management. p. 1-18 18 p.Research output: Contribution to journal › Article › peer-review
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AFED-EF: An Energy-efficient VM Allocation Algorithm for IoT Applications in a Cloud Data Center
Zhou, Z., Shojafar, M., Alazab, M., Abawajy, J. & Li, F., 19 Mar 2021, In: IEEE Transactions on Green Communications and Networking. p. 1-1 1 p.Research output: Contribution to journal › Article › peer-review
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AndroShow: A Large Scale Investigation to Identify the Pattern of Obfuscated Android Malware
Russel, M. O. F. K., Rahman, S. S. M. M. & Alazab, M., 2021, Machine Intelligence and Big Data Analytics for Cybersecurity Applications. Maleh, Y., Shojafar, M., Alazab, M. & Baddi, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 191-216 26 p. (Studies in Computational Intelligence; vol. 919).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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An ensemble machine learning approach through effective feature extraction to classify fake news
Hakak, S., Alazab, M., Khan, S., Gadekallu, T. R., Maddikunta, P. K. R. & Khan, W. Z., Apr 2021, In: Future Generation Computer Systems. 117, p. 47-58 12 p.Research output: Contribution to journal › Article › peer-review
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A Novel Deep Learning Model to Secure Internet of Things in Healthcare
Ahmad, U., Song, H., Bilal, A., Mahmood, S., Alazab, M., Jolfaei, A., Ullah, A. & Saeed, U., 2021, Machine Intelligence and Big Data Analytics for Cybersecurity Applications. Maleh, Y., Shojafar, M., Alazab, M. & Baddi, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 341-353 13 p. (Studies in Computational Intelligence; vol. 919).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review