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Dr Raja Akram

Dr Raja Akram
Dr Raja Akram
Dr Raja Akram

Phd (Information Security), MSc (Information Security), MSc (Computer Science), BSc (Mathematics, Physics)

Senior Lecturer

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Biography

I joined the Department of Computer Science as Senior Lecturer in July 2020. 

Previously, I have worked as Post Doctoral research assistant at the Information Security Group (ISG), Royal Holloway, University of London. During my time at ISG, I was involved with the research projects related to Data Control and Compliance, digital avionics, EMV and decentralised payment systems, transport ticketing and mobile contactless transactions. Previously, I have worked as Research Fellow at the Cyber Security Lab, Department of Computer Science, University of Waikato, New Zealand. At the Cyber Security Lab, I am involved with the user centric security and privacy paradigms. Before joining the University of Waikato, I worked as a Senior Research Fellow at Edinburgh Napier University. During my work at the Edinburgh Napier University, I worked on the RatTrap project. The RatTrap project designed a suite of preventive technologies to avoid online fraud - especially in the online affiliate marketing. I got my PhD in Information Security from Royal Holloway, University of London. I completed my MSc Information Security at Royal Holloway, University of London in September 2007. I also have MSc Computer Science from the University of Agriculture, Faisalabad and B.Sc (Mathematics, Physics and Geography) from the University of the Punjab, Lahore.

My current research interests revolve around the user centric applied security and privacy architectures, data ownership and control in a heterogeneous computing environment, security for machine learning and machine learning for security. In addition, I am also interested in smart card security, secure cryptographic protocol design and implementation, smartphone and IoT security, trusted platform architecture, trusted/secure execution environment and security & privacy issues in emerging technologies like blockchain, UAVs/Drone and autonomous vehicles.

Latest Publications

  • Exploiting CKKS-based Homomorphic Encryption in Federated Learning: A Hybrid Attack under Adverse Deployment Conditions

    Boar, P. E., Sharma, P., Akram, R. N., Li, W.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • SoK: Towards Privacy-Centric Collaborative Machine Learning—A Classification Framework for Privacy Solutions

    Boar, P. E., Sharma, P. K., Akram, R. N., Li, W.
    SN Computer Science, vol. 6, no. 8, 972
    Contributions to Journals: Articles
  • DECML: Distributed Edge Consensus Machine Learning Framework

    Verdeyen, C., Shepherd, C., Markantonakis, K., Akram, R. N., Milroy, R., Abu Ghazalah, S., Sauveron, D.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Enhancing diagnosis: ensemble deep-learning model for fracture detection using X-ray images

    Tahir, A., Saadia, A., Khan, K., Qahmash, A., Akram, R. N.
    Clinical Radiology, vol. 79, no. 11, pp. e1394-e1402
    Contributions to Journals: Articles
  • CO-TSM: A Flexible Model for Secure Embedded Device Ownership and Management

    Markantonakis, K., Arfaoui, G., Ghazalah, S. A., Shepherd, C., Akram, R. N., Sauveron, D.
    Smart Cities, vol. 7, no. 5, pp. 2887-2909
    Contributions to Journals: Articles

View My Publications

Teaching