RESEARCHER PROFILE

Adnan Akhunzada

← Back to University of Doha for Science and Technology

A

University of Doha for Science and Technology

Network Security and Intrusion DetectionIoT and Edge/Fog ComputingInternet of Things and AIAdvanced Neural Network ApplicationsSpam and Phishing Detection

Adnan Akhunzada works in Network Security and Intrusion Detection, IoT and Edge/Fog Computing, Internet of Things and AI, Advanced Neural Network Applications, Spam and Phishing Detection. Recorded institutional associations include University of Doha for Science and Technology, Coventry University, Technical University of Denmark.

229Publications
4,568Citations
36H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. A Deep CNN Ensemble Framework for Efficient DDoS Attack Detection in Software Defined Networks

    2020 · 263 citations

  2. Securing software defined networks: taxonomy, requirements, and open issues

    2015 · 186 citations

  3. Secure and dependable software defined networks

    2015 · 126 citations

  4. A novel intrusion detection framework for optimizing IoT security

    2024 · 123 citations

  5. Remote Data Auditing in Cloud Computing Environments

    2015 · 116 citations

  6. A hybrid DL-driven intelligent SDN-enabled malware detection framework for Internet of Medical Things (IoMT)

    2021 · 111 citations

  7. Network-centric performance analysis of runtime application migration in mobile cloud computing

    2014 · 105 citations

  8. Design and performance of an AI-enabled threat intelligence framework for IoT-enabled autonomous vehicles

    2024 · 94 citations

  9. Hybrid Deep Learning: An Efficient Reconnaissance and Surveillance Detection Mechanism in SDN

    2020 · 92 citations

  10. Man-At-The-End attacks: Analysis, taxonomy, human aspects, motivation and future directions

    2014 · 91 citations

  11. Fake news outbreak 2021: Can we stop the viral spread?

    2021 · 91 citations

  12. SDN orchestration to combat evolving cyber threats in Internet of Medical Things (IoMT)

    2020 · 90 citations

  13. Empowering IoT Resilience: Hybrid Deep Learning Techniques for Enhanced Security

    2024 · 89 citations

  14. Challenges in detecting security threats in WoT: a systematic literature review

    2025 · 78 citations

  15. Distributed controller clustering in software defined networks

    2017 · 72 citations

  16. Energy and performance aware fog computing: A case of DVFS and green renewable energy

    2019 · 72 citations

  17. An Approach towards IoT-Based Predictive Service for Early Detection of Diseases in Poultry Chickens

    2021 · 72 citations

  18. A Comprehensive Analysis of Congestion Control Protocols in Wireless Sensor Networks

    2018 · 68 citations

  19. Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches

    2024 · 67 citations

  20. Impact analysis and change propagation in service-oriented enterprises: A systematic review

    2015 · 63 citations

  21. Toward Secure Software Defined Vehicular Networks: Taxonomy, Requirements, and Open Issues

    2017 · 57 citations

  22. QoS-aware service provisioning in fog computing

    2020 · 57 citations

  23. Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection

    2024 · 57 citations

  24. Implications of deep learning for the automation of design patterns organization

    2017 · 53 citations

  25. A Dynamic DL-Driven Architecture to Combat Sophisticated Android Malware

    2020 · 52 citations

← Return to the university profile