Dr. Moutaz Alazab is a computer security expert with industry, academic, teaching and research experience. He completed his PhD degree in cybersecurity from Deakin university, Australia in 2014. During his PhD, he was an active scholar in the Securing Cyberspace Laboratory and Network and System Security Laboratory (NSCLab). He received B.Eng. Degree in Computer Engineering from Faculty of Engineering, Al-Balqa Applied University, Jordan in 2009. Dr. Alazab has proved the ability in delivering a high-quality content for several courses for both level (undergraduate students and postgraduate students). He has lectured, coordinated, tutored and moderated in several well-known universities including in BAU, CCQ, Deakin, RMIT, CQU and MIT.
EDUCATION
-PhD. School of Information Technology, Faculty of Science, Engineering and Built Environment at Deakin University, Victoria, Australia, April 2011 – August 2014.
Thesis Title: “Analysis on Smartphone Devices for Detection and Prevention of Malware using Machine Learning algorithms"
-BEng. Department of Electrical & Computer Engineering, Faculty of Engineering, Al-Balqa Applied University, Amman – Jordan, October 2005 - August 2009.
Thesis Title: “Designing and Implementing an Intelligent Wireless-Enabled Robot Car”
-High School, Scientific Stream, Al-Salt Secondary School, Amman – Jordan, September 2004 - June 2005.
An explainable and robust ensemble-based framework for malware detection AA Siam, M Alazab, A Obeidat, N Faruqui, I Mahmud Peer-to-Peer Networking and Applications 19 (3), 81 , 2026 2026
Transcall: A transformer-driven framework for zero-day malware detection using system call sequences A Al Siam, M Alazab, A Obeidat, N Faruqui, S Al-Maadeed 2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC), 1-6 , 2026 2026 Citations: 1
Real-time multi-source threat intelligence fusion using large language models A Al Siam, M Alazab, A Obeidat, N Faruqui, S Al-Maadeed 2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC), 1-6 , 2026 2026 Citations: 1
VoicePass Multi-factor User Authentication Method for E-Wallet NA Karim, M Alazab, OA Alzubi, WK Abdulraheem, H Kanaker, ... SN Computer Science 7 (1), 61 , 2026 2026
Spatiotemporal dynamics of a reaction-diffusion nutrient-algae model MW Yasin, M Akhtar, M Alazab, M Inc, Z Baber, MS Iqbal, S Rezapour Modeling Earth Systems and Environment 12 (1), 29 , 2026 2026
Optimizing malware detection across platforms using the firefly algorithm in cyber threat intelligence H Alazzam, O Abualghanam, M Alazab Cluster Computing 28 (16), 1049 , 2025 2025 Citations: 1
Explainable Intrusion Detection and Prevention Framework for Next-Generation Networks A Al Siam, S Shohan, N Faruqui, M Alazab 2025 IEEE International Conference on Signal Processing, Information … , 2025 2025
Enhancing federated learning for IoT-based anomaly detection: A reputation-based client selection approach MJ Alfadhil, A Baydoun, M Alazab, HU Rehman, J Al Jaam, ... Alexandria Engineering Journal 130, 889-909 , 2025 2025 Citations: 5
IntruSafe: a FCNN-LSTM hybrid IoMT intrusion detection system for both string and 2D-spatial data using sandwich architecture M Alazab, A Awajan, A Obeidat, N Faruqui, HU Rehman Neural Computing and Applications 37 (28), 23395-23422 , 2025 2025 Citations: 1
Decoding MGMT Methylation: A Step Towards Precision Medicine in Glioblastoma HU Rehman, S Fazal, M Alazab, A Baydoun arXiv preprint arXiv:2508.16424 , 2025 2025
Adaptive protocols for hypervisor security in cloud infrastructure using federated learning-based anomaly detection M Alazab, A Awajan, A Obeidat, N Faruqui, A Bere, S Ali, W Wei Engineering Applications of Artificial Intelligence 152, 110750 , 2025 2025 Citations: 14
Federated learning for intrusion detection in iot environments: a privacy-preserving strategy A Khraisat, A Alazab, M Alazab, A Obeidat, S Singh, T Jan Discover Internet of Things 5 (1), 72 , 2025 2025 Citations: 32
Optimizing malicious website prediction: An advanced XGBoost-based machine learning model S Hussain, I Zada, M Alazab, H Alfraihi, M Aldhayan, I Ullah, MAU Khan Nonlinear Engineering 14 (1), 20240069 , 2025 2025 Citations: 3
Elevating Mobile Security: An Ensemble Approach for Enhanced Malware Detection with M-iForest. O AbuAlghanam, H Alazzam, M Qatawneh, M Alazab, M Al Sharaiah International Journal of Interactive Mobile Technologies 19 (10) , 2025 2025 Citations: 4
Ip safeguard-an ai-driven malicious ip detection framework A Al Siam, M Alazab, A Awajan, MR Hasan, A Obeidat, N Faruqui IEEE Access , 2025 2025 Citations: 8
Analysis and Comparison of Raw Network Packet Datasets Using Machine Learning Classification and Grey Wolf Optimization. HA Al-Ofeishat, JS Alkasassbeh, A Awajan, M Alazab International Journal of Advances in Soft Computing & Its Applications 17 (1) , 2025 2025 Citations: 4
Towards precision medicine in Glioblastoma: Unraveling MGMT methylation status in glioblastoma using adaptive sparse autoencoders S Fazal, HU Rehman, M Alazab Egyptian Informatics Journal 29, 100583 , 2025 2025 Citations: 3
Securing federated learning: a defense strategy against targeted data poisoning attack A Khraisat, A Alazab, M Alazab, T Jan, S Singh, MA Uddin Discover Internet of Things 5 (1), 16 , 2025 2025 Citations: 21
Chaotic Hénon–logistic map integration: a powerful approach for safeguarding digital images A Al-Hyari, M Abu-Faraj, C Obimbo, M Alazab Journal of Cybersecurity and Privacy 5 (1), 8 , 2025 2025 Citations: 12
A comprehensive review of AI’s current impact and future prospects in cybersecurity A Al Siam, M Alazab, A Awajan, N Faruqui IEEE Access 13, 14029-14050 , 2025 2025 Citations: 65
MOST CITED SCHOLAR PUBLICATIONS
Blockchain technology in supply chain management: an empirical study of the factors affecting user adoption/acceptance M Alazab, S Alhyari, A Awajan, AB Abdallah Cluster Computing 24 (1), 83-101 , 2021 2021 Citations: 396
COVID-19 Prediction and Detection Using Deep Learning M Alazab, A Awajan, A Mesleh, A Abraham, V Jatana, S Alhyari International Journal of Computer Information Systems and Industrial … , 2020 2020 Citations: 357
Zero-day Malware Detection based on Supervised Learning Algorithms of API call Signatures. M Alazab, S Venkatraman, PA Watters, M Alazab AusDM 11, 171-182 , 2011 2011 Citations: 349
Intelligent mobile malware detection using permission requests and API calls M Alazab, M Alazab, A Shalaginov, A Mesleh, A Awajan Future Generation Computer Systems 107, 509-521 , 2020 2020 Citations: 302
Using feature selection for intrusion detection system A Alazab, M Hobbs, J Abawajy, M Alazab 2012 international symposium on communications and information technologies … , 2012 2012 Citations: 209
Optimized Machine Learning-Based Intrusion Detection System for Fog and Edge Computing Environment O Alzubi, J Alzubi, M Alazab, A Alrabea, A Awajan, I Qiqieh MDPI-Electronics , 2022 2022 Citations: 144
Cybercrime: the case of obfuscated malware M Alazab, S Venkatraman, P Watters, M Alazab, A Alazab International Conference on e-Democracy, 204-211 , 2011 2011 Citations: 123
Performance evaluation of e‐government services using balanced scorecard: An empirical study in Jordan S Alhyari, M Alazab, S Venkatraman, M Alazab, A Alazab Benchmarking: an international journal 20 (4), 512-536 , 2013 2013 Citations: 104
Evolution of industry and blockchain era: monitoring price hike and corruption using BIoT for smart government and industry 4.0 MK Hasan, M Akhtaruzzaman, SR Kabir, TR Gadekallu, S Islam, ... IEEE Transactions on Industrial Informatics 18 (12), 9153-9161 , 2022 2022 Citations: 100
A new intrusion detection system based on Moth–Flame Optimizer algorithm M Alazab, RA Khurma, A Awajan, D Camacho Expert Systems with Applications 210, 118439 , 2022 2022 Citations: 84
Evolving Generative Adversarial Networks to improve image steganography A Martín, A Hernández, M Alazab, J Jung, D Camacho Expert Systems with Applications 222, 119841 , 2023 2023 Citations: 83
Augmented reality-based English language learning: importance and state of the art M Wedyan, J Falah, O Elshaweesh, SFM Alfalah, M Alazab Electronics 11 (17), 2692 , 2022 2022 Citations: 83
Analysis of malicious and benign android applications M Alazab, V Moonsamy, L Batten, P Lantz, R Tian 2012 32nd international conference on distributed computing systems … , 2012 2012 Citations: 79
A brief review of new threats and countermeasures in digital crime and cyber terrorism M Dawson New Threats and Countermeasures in Digital Crime and Cyber Terrorism, 1-7 , 2015 2015 Citations: 78
Industry 4.0 innovation: a systematic literature review on the role of blockchain technology in creating smart and sustainable manufacturing facilities M Alazab, S Alhyari Information 15 (2), 78 , 2024 2024 Citations: 74
A comprehensive review of AI’s current impact and future prospects in cybersecurity A Al Siam, M Alazab, A Awajan, N Faruqui IEEE Access 13, 14029-14050 , 2025 2025 Citations: 65
Automated malware detection in mobile app stores based on robust feature generation M Alazab Electronics 9 (3), 435 , 2020 2020 Citations: 65
Trade-off among lean, agile, resilient and green paradigms: an empirical study on pharmaceutical industry in Jordan using a TOPSIS-entropy method T Suifan, M Alazab, S Alhyari International Journal of Advanced Operations Management 11 (1-2), 69-101 , 2019 2019 Citations: 65
Detection of obfuscated malicious JavaScript code A Alazab, A Khraisat, M Alazab, S Singh Future Internet 14 (8), 217 , 2022 2022 Citations: 56
An effective networks intrusion detection approach based on hybrid Harris Hawks and multi-layer perceptron M Alazab, RA Khurma, PA Castillo, B Abu-Salih, A Martín, D Camacho Egyptian Informatics Journal 25, 100423 , 2024 2024 Citations: 47
