Muhammad Usman

Employment

• Edge Hill University Research institute member
  2022 - Present
• Edge Hill University Academic, Reader in Cyber Security & AI
  2022 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (33)

• SAC-DeV: Secure Access Control for Drone-Assisted Edge Computing in e-VANETs
  Muhammad Usman, Azeem Irshad, Shehzad Ashraf Chaudhry
  IEEE Internet of Things Journal 2025 DOI: 10.1109/JIOT.2025.3615508
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• NIOM-DGA
  Computers and Security 2025 DOI: 10.1016/j.cose.2025.104561
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• SAC-DeV: Secure Access Control for Drone-Assisted edge computing in e-VANETs
  IEEE Internet of Things Journal 2025
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• Image-Based Android Malware Detection Using Deep Learning
  16th International Conference on Global Security, Safety & Sustainability, ICGS3-24 2025 DOI: 10.1007/978-3-031-82031-1_12
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• Credit Card Fraud Detection Using Deep Neural Network With Shapley Additive Explanations
  Proceedings of 21st International Conference on Frontiers of Information Technology (FIT'24) 2025 DOI: 10.1109/FIT63703.2024.10838456
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• GUEST EDITORIAL Enhancing Edge-based consumer electronics devices and IoT Ecosystem with Post Quantum Cryptosystem: Security Challenges and Solutions”
  Azeem Irshad, Muhammad Usman, Alavalapati Goutham Reddy +2 more
  IEEE Transactions on Consumer Electronics 2025 DOI: 10.1109/TCE.2025.3628198
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• Investigating Low Latency Communications With Link-Layer Rate of NOMA Under Nakagami-m Fading Channel in Finite Blocklength Regime
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3537464
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• PBatch: Pseudonym Certificate Batch Authentication With Generative AI-Based Cache for Cooperative Intelligent Transportation Systems
  Salabat Khan, Mansoor Khan, Muhammad Asghar Khan +6 more
  IEEE Transactions on Intelligent Transportation Systems 2025 DOI: 10.1109/TITS.2025.3558366
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• FA-SMW: Fog-Driven Anonymous Lightweight Access Control for Smart Medical Wearables
  Azeem Irshad, Amer Aljaedi, Zaid Bassfar +3 more
  IEEE Internet of Things Journal 2024 DOI: 10.1109/jiot.2024.3484945
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• A Novel Self-Calibrated UWB Based Indoor Localization Systems for Context-Aware Applications
  Tanveer Ahmad, Muhammad Usman, Marryam Murtaza +6 more
  IEEE Transactions on Consumer Electronics 2024 DOI: 10.1109/tce.2024.3369193
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• Blockchain of Things: Benefits, Challenges and Future Directions
  Sensors 2024 DOI: 10.3390/s24030934
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• Underpinning Quality Assurance: Identifying Core Testing Strategies for Multiple Layers of Internet-of-Things-Based Applications
  Sustainability 2023 DOI: 10.3390/su152215683
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• Hybrid gated recurrent unit and convolutional neural network-based deep learning mechanism for efficient shilling attack detection in social networks
  N. G. Praveena, Kapil Juneja, Mamoon Ur Rashid

  +4 more

  • Alaa Omran Almagrabi
  • Kaushik Sekaran
  • Rajakumar Ramalingam
  • Muhammad Usman
  Computers and Electrical Engineering 2023 DOI: 10.1016/j.compeleceng.2023.108673
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• A blockchain-based secure data-sharing framework for Software Defined Wireless Body Area Networks
  Computer Networks 2022 DOI: 10.1016/j.comnet.2022.109004
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• Application Threats to Exploit Northbound Interface Vulnerabilities in Software Defined Networks
  ACM Computing Surveys 2022 DOI: 10.1145/3453648
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• Security Hardened and Privacy Preserved Vehicle-to-Everything (V2X) Communication
  Azeem Irshad, Muhammad Shafiq, Shehzad Ashraf Chaudhry +1 more
  Security and Communication Networks 2022 DOI: 10.1155/2022/9865621
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• Fuzzy-in-the-Loop Driven Low Cost and Secure Biometric User Access to Server
  Azeem Irshad, Muhammad Usman, Shehzad Ashraf Chaudhry +3 more
  IEEE Transactions on Reliability 2021 DOI: 10.1109/TR.2020.3021794
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• Anomaly Detection in Automated Vehicles Using Multistage Attention-based Convolutional Neural Network
  IEEE Transactions on Intelligent Transportation Systems 2021 DOI: 10.1109/TITS.2020.3025875
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• A Cross-Layer Trust-based Consensus Protocol for Peer-to-Peer Energy Trading Using Fuzzy Logic
  IEEE Internet of Things Journal 2021 DOI: 10.1109/JIOT.2021.3063710
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• Closing the Loop in Feedback Driven Learning Environments Using Trust Decision Making and Utility Theory
  IEEE Transactions on Emerging Topics in Computational Intelligence 2021 DOI: 10.1109/TETCI.2020.2991452
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