Abid Khan
| Name | Abid Khan |
|---|---|
| Job title | Senior Lecturer in Computer Science |
| Research institute | College of Science and Engineering |
| ORCID | https://orcid.org/0000-0003-2712-1956 |
Research outputs
A Secure and Privacy Preserved Infrastructure for VANETs based on Federated Learning with Local Differential Privacy
Batool, H., Anjum, A., Khan, A., Izzo, S., Mazzocca, C. and Jeon, G. 2023. A Secure and Privacy Preserved Infrastructure for VANETs based on Federated Learning with Local Differential Privacy. Elsevier Information Sciences. 652. https://doi.org/10.1016/j.ins.2023.119717Decentralized Receiver-based Link Stability-aware Forwarding Scheme for NDN-based VANETs
Zafar, W. U. I., Rehman, M. A. U., Jabeen, F., Ullah, R., Abbas, G. and Khan, A. 2023. Decentralized Receiver-based Link Stability-aware Forwarding Scheme for NDN-based VANETs. Computer Networks. 236, pp. 1-23. https://doi.org/10.1016/j.comnet.2023.109996Cohort-based kernel principal component analysis with Multi-path Service Routing in Federated Learning
Sikandar, H. S., Malik, S. R., Anjum, A., Khan, A. and Jeon, G. 2023. Cohort-based kernel principal component analysis with Multi-path Service Routing in Federated Learning. Future Generation Computer Systems. 149, pp. 518-530. https://doi.org/10.1016/j.future.2023.07.037An Efficient and Privacy-preserving Blockchain-based Secure Data Aggregation in Smart Grids
Mahmood, A., Khan, A., Anjum, A., Maple, C. and Jeon, G. 2023. An Efficient and Privacy-preserving Blockchain-based Secure Data Aggregation in Smart Grids. Sustainable Energy Technologies and Assessments. 60, pp. 1-11. https://doi.org/10.1016/j.seta.2023.103414Data Provenance in Healthcare: Approaches, Challenges, and Future Directions
Mansoor Ahmed (PhD), Amil Dar, Markus Helfert, Khan, A. and Jungsuk Kim 2023. Data Provenance in Healthcare: Approaches, Challenges, and Future Directions. Sensors. 23 (14), pp. 1-26. https://doi.org/10.3390/s23146495Privacy Preservation in the Internet of Vehicles using Local Differential Privacy and IOTA Ledger
Iftikhar, Z., Anjum, A., Jeon, G., Shah, M. A. and Khan, A. 2023. Privacy Preservation in the Internet of Vehicles using Local Differential Privacy and IOTA Ledger. Springer Cluster Computing . pp. 1-17. https://doi.org/10.1007/s10586-023-04002-0A Privacy-Enabled, Blockchain-Based Smart Marketplace
Bello Musa Yakubu, Majid Iqbal Khan, Khan, A., Adeel Anjum, Madiha Syed and Semeen Rehman 2023. A Privacy-Enabled, Blockchain-Based Smart Marketplace. Applied Sciences. 13 (5), pp. 1-16. https://doi.org/10.3390/app13052914Blockchain-based DDoS attack mitigation protocol for device-to-device interaction in smart homes
Yakubu, M, Y., Khan, M. I., Khan, A., Jabeen, F. and Jeon, G. 2023. Blockchain-based DDoS attack mitigation protocol for device-to-device interaction in smart homes. Digital Communications and Networks. pp. 1-15. https://doi.org/10.1016/j.dcan.2023.01.013Preserving Privacy of High-Dimensional Data by l-Diverse Constrained Slicing
Amin, Z., Anjum, A., Khan, A., Ahmad, A. and Jeon, G. 2022. Preserving Privacy of High-Dimensional Data by l-Diverse Constrained Slicing. Electronics. 11 (8), p. 1257. https://doi.org/10.3390/electronics11081257Fuzz-classification (p, l)-Angel: An enhanced hybrid artificial intelligence based fuzzy logic for multiple sensitive attributes against privacy breaches
Kanwal, T., Attaullaha, H., Anjum, A., Khan, A. and Jeon, G. 2022. Fuzz-classification (p, l)-Angel: An enhanced hybrid artificial intelligence based fuzzy logic for multiple sensitive attributes against privacy breaches. Elsevier Digital Communications and Networks. pp. 1-16. https://doi.org/10.1016/j.dcan.2022.09.025Fault-Tolerant Secure Data Aggregation Schemes in Smart Grids: Techniques, Design Challenges, and Future Trends
Khan, H. M., Khan, A., Khan, B. and Jeon, G. 2022. Fault-Tolerant Secure Data Aggregation Schemes in Smart Grids: Techniques, Design Challenges, and Future Trends. MDPI Energies. 15 (24), p. 9350.. https://doi.org/10.3390/en15249350Location Privacy Schemes in Vehicular Networks: Taxonomy, Comparative Analysis, Design Challenges, and Future Opportunities
Ullah, I., Shah, M. A., Khan, A. and Guizani, M. 2025. Location Privacy Schemes in Vehicular Networks: Taxonomy, Comparative Analysis, Design Challenges, and Future Opportunities. ACM Computing Surveys. 57 (6), pp. 1-44. https://doi.org/10.1145/3711681Hybrid Non-Technical-Loss Detection in Fog-enabled Smart Grids
Khan, H. M., Jabeen, F., Khan, A., Badawi, S. A., Maple, C. and Jeon, G. 2024. Hybrid Non-Technical-Loss Detection in Fog-enabled Smart Grids. Sustainable Energy Technologies and Assessments. 65, pp. 1-9. https://doi.org/10.1016/j.seta.2024.103775Privacy-Preserving V2I Communication and Secure Authentication Using ECC With Physical Unclonable Function
Nawaz, I., Ali Shah, M., Khan, A. and Jeon, S. 2024. Privacy-Preserving V2I Communication and Secure Authentication Using ECC With Physical Unclonable Function. Wireless Networks. pp. 1-16. https://doi.org/10.1007/s11276-024-03651-2A Robust Internet of Drones Security Surveillance Communication Network Based on IOTA
Gilani, S. Y., Anjum, A., Khan, A., Khan, A., Syed, M. H., Moqurrab, S. A. and Srivastava, G. 2024. A Robust Internet of Drones Security Surveillance Communication Network Based on IOTA. Internet of Things. pp. 1-21. https://doi.org/10.1016/j.iot.2024.101066Improved angelization technique against background knowledge attack for 1:M microdata
Fazal, R., Khan, R., Anjum, A., Syed, M. H., Khan, A. and Rehman, S. 2023. Improved angelization technique against background knowledge attack for 1:M microdata. PeerJ. https://doi.org/10.7717/peerj-cs.12551471
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