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Biography



Prof. Mamoun Alazab

College of Engineering, IT and Environment

Charles Darwin University, Australia


Email: alazab.m@ieee.org


Qualifications

Ph.D., Information Technology and Engineering, Federation University of Australia


Publications (Selected)

  1. Faezeh Farivar, Mohammad Sayad Haghighi, Alireza Jolfaei & Mamoun Alazab 2020, ‘Artificial Intelligence for Detection, Estimation, and Compensation of Malicious Attacks in Nonlinear Cyber-Physical Systems and Industrial IoT’, IEEE Transactions on Industrial Informatics, vol. 16, no. 4, pp. 2716–2725, doi:10.1109/tii.2019.2956474 [Q1, IF 7.377].
  2. Shulan Wang, Haiyan Wang, Jianqiang Li, Huihui Wang & Junaid Chaudhry et al. 2020, ‘A Fast CP-ABE System for Cyber-Physical Security and Privacy in Mobile Healthcare Network’, IEEE Transactions on Industry Applications, pp. 1–1, doi:10.1109/tia.2020.2969868 [Q1, IF 3.347].
  3. Muahammad Ajmal Azad, Mamoun Alazab, Farhan Riaz, Junaid Arshad & Tariq Abullah 2020, ‘Socioscope: I know who you are, a robo, human caller or service number’, Future Generation Computer Systems, vol. 105, pp. 297–307, doi:10.1016/j.future.2019.11.007 [Q1, IF 5.768, ERA2010 RANK - A].
  4. Sweta Bhattacharya, Siva Ramakrishnan S, Praveen Kumar Reddy M, Rajesh Kaluri & Saurabh Singh et al. 2020, ‘A Novel PCA-Firefly based XGBoost classification model for Intrusion Detection in Networks using GPU’, Electronics, vol. 9, no. 2, pp. 219, doi:10.3390/electronics9020219 [Q1, IF 1.764].
  5. Mohammad Aladwan, Feras Awaysheh, Mamoun Alazab, Sadi Alawadi & Tomas Pena et al. 2020, ‘TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud’, IEEE Transactions on Industrial Informatics, pp. 1– 1, doi:10.1109/tii.2020.2966288 [Q1, IF 7.377].
  6. Moutaz Alazab, Mamoun Alazab, Andrii Shalaginov, Abdelwadood Mesleh & Albara Awajan 2020, ‘Intelligent mobile malware detection using permission requests and API calls’, Future Generation Computer Systems, vol. 107, pp. 509–521, doi:10.1016/j.future.2020.02.002 [Q1, IF 5.768, ERA2010 RANK - A].
  7. A.S.M. Kayes, Wenny Rahayu, Paul Watters, Mamoun Alazab & Tharam Dillon et al. 2020, ‘Achieving security scalability and flexibility using Fog-Based Context-Aware Access Control’, Future Generation Computer Systems, vol. 107, pp. 307– 323, doi:10.1016/j.future.2020.02.001 [Q1, IF 5.768, ERA2010 RANK - A].
  8. Danish Vasan, Mamoun Alazab, Sobia Wassan, Hamad Naeem & Babak Safaei et al. 2020, ‘IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture’, Computer Networks, vol. 171, pp. 107138, doi:10.1016/j.comnet.2020.107138 [Q1, IF 3.030].
  9. Feras M. Awaysheh, Mamoun Alazab, Maanak Gupta, Tomás F. Pena & José C. Cabaleiro 2020, ‘Next-generation big data federation access control: A reference model’, Future Generation Computer Systems, vol. 108, pp. 726–741, doi:10.1016/j.future.2020.02.052 [Q1, IF 5.768, ERA2010 RANK - A].
  10. Milad Taleby Ahvanooey, Qianmu Li, Xuefang Zhu, Mamoun Alazab & Jing Zhang 2020, ‘ANiTW: A Novel Intelligent Text Watermarking technique for forensic identification of spurious information on social media’, Computers & Security, vol. 90, pp. 101702, doi:10.1016/j.cose.2019.101702 [Q1, IF 3.062, ACPHIS/ABCD RANK - A].
  11. Danish Vasan, Mamoun Alazab, Sobia Wassan, Babak Safaei & Qin Zheng 2020, ‘Image-Based malware classification using ensemble of CNN architectures (IMCEC)’, Computers & Security, vol. 92, pp. 101748, doi:10.1016/j.cose.2020.101748 [Q1, IF 3.062, ACPHIS/ABCD RANK - A].
  12. Muhammad Numan, Fazli Subhan, Wazir Zada Khan, Saqib Hakak & Sajjad Haider et al. 2020, ‘A Systematic Review on Clone Node Detection in Static Wireless Sensor Networks’, IEEE Access, pp. 1–1, doi:10.1109/access.2020.2983091 [Q1, IF 4.098].
  13. Quoc-Viet Pham, Seyedali Mirjalili, Neeraj Kumar, Mamoun Alazab & Won-Joo Hwang 2020, ‘Whale Optimization Algorithm with Applications to Resource Allocation in Wireless Networks’, IEEE Transactions on Vehicular Technology, pp. 1– 1, doi:10.1109/tvt.2020.2973294 [Q1, IF 5.339].
  14. Vinayakumar R, Mamoun Alazab, Sriram Srinivasan, Quoc-Viet Pham & Soman Kotti Padannayil et al. 2020, ‘A Visualized Botnet Detection System based Deep Learning for the Internet of Things Networks of Smart Cities’, IEEE Transactions on Industry Applications, pp. 1–1, doi:10.1109/tia.2020.2971952 [Q1, IF 3.347].
  15. Thippa Reddy Gadekallu, Neelu Khare, Sweta Bhattacharya, Saurabh Singh & Praveen Kumar Reddy Maddikunta et al. 2020, ‘Early Detection of Diabetic Retinopathy Using PCA-Firefly Based Deep Learning Model’, Electronics, vol. 9, no. 2, pp. 274, doi:10.3390/electronics9020274 [Q1, IF 1.764].
  16. Ahmed Al-Samman, Tharek Abd. Rahman, Tawfik Al-Hadhrami, Abdusalama Daho & MHD Hindia et al. 2019, ‘Comparative Study of Indoor Propagation Model Below and Above 6 GHz for 5G Wireless Networks’, Electronics, vol. 8, no. 1, pp. 44, doi:10.3390/electronics8010044 [Q1, IF 1.764].
  17. Hadeel Alzoubi, Raid Alzubi, Naeem Ramzan, Daune West & Tawfik Al-Hadhrami et al. 2019, ‘A Review of Automatic Phenotyping Approaches using Electronic Health Records’, Electronics, vol. 8, no. 11, pp. 1235, doi:10.3390/electronics8111235 [Q1, IF 1.764].
  18. Mehdi Gheisari, Quoc-Viet Pham, Mamoun Alazab, Xiaobo Zhang & Christian Fernandez-Campusano et al. 2019, ‘ECA: An Edge Computing Architecture for Privacy-Preserving in IoT-Based Smart City’, IEEE Access, vol. 7, pp. 155779– 155786, doi:10.1109/access.2019.2937177 [Q1, IF 4.098]
  19. Hongli Zhang, Alireza Jolfaei & Mamoun Alazab 2019, ‘A Face Emotion Recognition Method Using Convolutional Neural Network and Image Edge Computing’, IEEE Access, vol. 7, pp. 159081–159089, doi:10.1109/access.2019.2949741[Q1, IF 4.098]
  20. Mohammad Jabed Morshed Chowdhury, MD. Sadek Ferdous, Kamanashis Biswas, Niaz Chowdhury & A. S. M. Kayes et al. 2019, ‘A Comparative Analysis of Distributed Ledger Technology Platforms’, IEEE Access, vol. 7, pp. 167930– 167943, doi:10.1109/access.2019.2953729 [Q1, IF 4.098]
  21. Asif Karim, Sami Azam, Bharanidharan Shanmugam, Krishnan Kannoorpatti & Mamoun Alazab 2019, ‘A Comprehensive Survey for Intelligent Spam Email Detection’, IEEE Access, vol. 7, pp. 168261–168295, doi:10.1109/access.2019.2954791 [Q1, IF 4.098]
  22. Solomon H. Ebenuwa, Mhd Saeed Sharif, Mamoun Alazab & Ameer Al-Nemrat 2019, ‘Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data’, IEEE Access, vol. 7, pp. 24649–24666, doi:10.1109/access.2019.2899578 [Q1, IF 4.098]
  23. R. Vinayakumar, Mamoun Alazab, K. P. Soman, Prabaharan Poornachandran & Sitalakshmi Venkatraman 2019, ‘Robust Intelligent Malware Detection Using Deep Learning’, IEEE Access, vol. 7, pp. 46717–46738, doi:10.1109/access.2019.2906934 [Q1, IF 4.098]
  24. Farhan Ullah, Junfeng Wang, Sohail Jabbar, Fadi Al-Turjman & Mamoun Alazab 2019, ‘Source Code Authorship Attribution Using Hybrid Approach of Program Dependence Graph and Deep Learning Model’, IEEE Access, vol. 7, pp. 141987– 141999, doi:10.1109/access.2019.2943639 [Q1, IF 4.098]
  25. Mohamed Falah Faiz, Junaid Arshad, Mamoun Alazab & Andrii Shalaginov 2019, ‘Predicting likelihood of legitimate data loss in email DLP’, Future Generation Computer Systems, doi:10.1016/j.future.2019.11.004 [Q1, IF 5.768, ERA2010 RANK - A].
  26. Usman Ahmad, Hong Song, Awais Bilal, Mamoun Alazab & Alireza Jolfaei 2019, ‘Securing smart vehicles from relay attacks using machine learning’, The Journal of Supercomputing, doi:10.1007/s11227-019-03049-4 [Q2, IF 2.157]
  27. Isha Batra, Sahil Verma, Kavita & Mamoun Alazab 2019, ‘A lightweight IoT-based security framework for inventory automation using wireless sensor network’, International Journal of Communication Systems, vol. 33, no. 4, pp. e4228, doi:10.1002/dac.4228 [Q2, IF 1.578]
  28. Sitalakshmi Venkatraman, Mamoun Alazab & R. Vinayakumar 2019, ‘A hybrid deep learning image-based analysis for effective malware detection’, Journal of Information Security and Applications, vol. 47, pp. 377–389, doi:10.1016/j.jisa.2019.06.006 [Q2, IF 1.537]
  29. R. Vinayakumar, Mamoun Alazab, K. P. Soman, Prabaharan Poornachandran & Ameer Al-Nemrat 2019, ‘Deep Learning Approach for Intelligent Intrusion Detection System’, IEEE Access, vol. 7, pp. 41525–41550, doi:10.1109/access.2019.2895334 [Q1, IF 4.098]
  30. Riaz Ullah Khan, Xiaosong Zhang, Rajesh Kumar, Abubakar Sharif & Noorbakhsh Amiri Golilarz, Mamoun Alazab 2019, ‘An Adaptive Multi- Layer Botnet Detection Technique Using Machine Learning Classifiers’, Applied Sciences, vol. 9, no. 11, pp. 2375, doi:10.3390/app9112375 [Q1, IF 2.217]