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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
89
Citations
28899
World Ranking
645
National Ranking
14

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Mamoun Alazab is affiliated with Charles Darwin University in Australia. Their research primarily spans the field of Computer Science, with a focus on various interrelated subfields including Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering, and Signal Processing.

The scientist's work covers a wide range of topics. Key areas of research include:

  • Blockchain Technology Applications and Security
  • Network Security and Intrusion Detection
  • IoT and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Advanced Malware Detection Techniques
  • Anomaly Detection Techniques and Applications

Among recent notable papers, the following publications stand out for their contribution to different domains:

  • "Blockchain for Industry 4.0: A Comprehensive Review," 2020, published in IEEE Access
  • "Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges," 2021, IEEE Sensors Journal
  • "Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey," 2020, Sustainable Cities and Society
  • "IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture," 2020, Computer Networks
  • "Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions," 2023, IEEE Access

Mamoun Alazab frequently collaborates with several other researchers, including:

  • Thippa Reddy Gadekallu
  • Praveen Kumar Reddy Maddikunta
  • Sweta Bhattacharya
  • Neeraj Kumar
  • Mohammad Shojafar

The scientist publishes regularly in established academic venues, with a significant number of publications appearing in:

  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Access
  • Future Generation Computer Systems
  • IEEE Internet of Things Journal

Mamoun Alazab has also contributed to several books published by notable academic publishers. Key book publications include:

  • Artificial Intelligence and Blockchain for Future Cybersecurity Applications, Springer International Publishing, 2021
  • Advances in Information, Communication and Cybersecurity, Springer International Publishing, 2022
  • Machine Intelligence and Big Data Analytics for Cybersecurity Applications, Springer Nature, 2020
  • Big Data Intelligence for Smart Applications, Springer Nature, 2022
  • Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence, River Publishers eBooks, 2023

Best Publications

  • Deep Learning Approach for Intelligent Intrusion Detection System

    R. Vinayakumar;Mamoun Alazab;K. P. Soman;Prabaharan Poornachandran

  • Blockchain for Industry 4.0: A Comprehensive Review

    Umesh Bodkhe;Sudeep Tanwar;Karan Parekh;Pimal Khanpara

  • Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges

    Praveen Kumar Reddy Maddikunta;Saqib Hakak;Mamoun Alazab;Sweta Bhattacharya

  • Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions

    Unknown

  • Robust Intelligent Malware Detection Using Deep Learning

    R. Vinayakumar;Mamoun Alazab;K. P. Soman;Prabaharan Poornachandran

  • IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture

    Danish Vasan;Danish Vasan;Mamoun Alazab;Sobia Wassan;Hamad Naeem

  • Deep Learning and Medical Image Processing for Coronavirus (COVID-19) Pandemic: A Survey.

    Sweta Bhattacharya;Praveen Kumar Reddy Maddikunta;Quoc Viet Pham;Thippa Reddy Gadekallu

  • An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

    R M Swarna Priya;Praveen Kumar Reddy Maddikunta;M Parimala;Srinivas Koppu

  • An ensemble machine learning approach through effective feature extraction to classify fake news

    Saqib Hakak;Mamoun Alazab;Suleman Khan;Thippa Reddy Gadekallu

  • Federated Learning enabled Digital Twins for smart cities: Concepts, recent advances, and future directions

    Unknown

  • Image-Based malware classification using ensemble of CNN architectures (IMCEC)

    Danish Vasan;Danish Vasan;Mamoun Alazab;Sobia Wassan;Sobia Wassan;Babak Safaei

  • Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions.

    Shaashwat Agrawal;Sagnik Sarkar;Ons Aouedi;Gokul Yenduri

  • A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

    Sweta Bhattacharya;Siva Rama Krishnan S;Praveen Kumar Reddy Maddikunta;Rajesh Kaluri

  • Early detection of diabetic retinopathy using pca-firefly based deep learning model

    Thippa Reddy Gadekallu;Neelu Khare;Sweta Bhattacharya;Saurabh Singh

  • Task Co-Offloading for D2D-Assisted Mobile Edge Computing in Industrial Internet of Things

    Unknown

  • Whale Optimization Algorithm With Applications to Resource Allocation in Wireless Networks

    Quoc-Viet Pham;Seyedali Mirjalili;Neeraj Kumar;Mamoun Alazab

  • A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities

    R. Vinayakumar;Mamoun Alazab;Sriram Srinivasan;Quoc-Viet Pham

  • A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU

    Thippa Reddy Gadekallu;Dharmendra Singh Rajput;M. Praveen Kumar Reddy;Kuruva Lakshmanna

  • Artificial Intelligence for Detection, Estimation, and Compensation of Malicious Attacks in Nonlinear Cyber-Physical Systems and Industrial IoT

    Faezeh Farivar;Mohammad Sayad Haghighi;Alireza Jolfaei;Mamoun Alazab

  • CANintelliIDS: Detecting In-Vehicle Intrusion Attacks on a Controller Area Network Using CNN and Attention-Based GRU

    Abdul Rehman Javed;Saif ur Rehman;Mohib Ullah Khan;Mamoun Alazab

  • Blockchain-Based Reliable and Efficient Certificateless Signature for IIoT Devices

    Weizheng Wang;Hao Xu;Mamoun Alazab;Thippa Reddy Gadekallu

  • Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System

    Keping Yu;Long Lin;Mamoun Alazab;Liang Tan

  • Intelligent mobile malware detection using permission requests and API calls

    Moutaz Alazab;Mamoun Alazab;Andrii Shalaginov;Abdelwadood Mesleh

  • Zero-day malware detection based on supervised learning algorithms of API call signatures

    Mamoun Alazab;Sitalakshmi Venkatraman;Paul Watters;Moutaz Alazab

Frequent Co-Authors

Paul A. Watters
Paul A. Watters La Trobe University
Neeraj Kumar
Neeraj Kumar Thapar University
Quoc-Viet Pham
Quoc-Viet Pham Trinity College Dublin
B. B. Zaidan
B. B. Zaidan SP Jain School of Global Management - Sydney
Alireza Jolfaei
Alireza Jolfaei Flinders University
A. A. Zaidan
A. A. Zaidan SP Jain School of Global Management - Sydney
O. S. Albahri
O. S. Albahri Victorian Institute of Technology
A. S. Albahri
A. S. Albahri Imam Ja'afar al-Sadiq University
Sudeep Tanwar
Sudeep Tanwar Marwadi University
K. P. Soman
K. P. Soman Amrita Vishwa Vidyapeetham University

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