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Dr Prosanta Gope

Senior Lecturer · School of Computer Science Regent Court

University of Sheffield · United Kingdom
Lightweight and Anonymous Authentication Protocol DesignSecurity and Privacy in Internet of ThingsSecurity and Privacy in Mobile CommunicationWSN and RFID SecuritySecurity and Privacy in Smart-GridHardware Security of the IoT Devices5G and Next Generation Communication SecuritySecurity and Privacy in Tactile-Internet-based Applications

About

Dr Prosanta Gope is currently an Associate Professor in the Department of Computer Science (Cyber Security) and the MSc Course Director for Cybersecurity & AI at the University of Sheffield, UK. Dr Gope served as a Research Fellow in the Department of Computer Science at the National University of Singapore (NUS). Primarily driven by tackling challenging real-world security problems, he has expertise in Lightweight Authentication, Authenticated Encryption, 5G and Next-Generation Communication Security, Privacy-Preserving Machine Learning, Security in the Internet of Things, Smart-Grid Security, and IoT Hardware. He has authored more than 150 peer-reviewed articles in several reputable international journals and conferences, and holds four filed patents. He received the Distinguished PhD Sc

Selected publications

  • Yuan X, Yang Y, Iqbal A, Gope P & Sikdar B (2026) A Novel Ensemble Method for Detecting Energy Theft in Smart Grids. IEEE Transactions on Emerging Topics in Computing, 1-15.
  • Pasikhani A, Gope P, Yang Y, Mehnaz S & Sikdar B (2026) Baiting AI: Deceptive Adversary Against AI-Protected Industrial Infrastructures. IEEE Transactions on Dependable and Secure Computing, 1-18.
  • Li Z, Zhu H, Liao G, Wang M, Li P & Gope P (2025) QT-PAKE: Secure Messaging via Quantum-Safe Threshold PAKE. IEEE Transactions on Consumer Electronics, 1-1.
  • (2025) Message from the DependSys-2025 Program Chairs. 2025 IEEE International Conference on High Performance Computing and Communications (HPCC), 1-1.
  • Iqbal A, Gope P & Sikdar B (2025) Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting. IEEE Transactions on Dependable and Secure Computing, 1-19.
  • Gope P, Hongming F & Sikdar B (2025) Lightweight and Privacy-Preserving Reconfigurable Authentication Scheme for IoT Devices. IEEE Transactions on Services Computing, 18(2), 912-925.
  • Yang Y, Gope P, Pasikhani A & Sikdar B (2025) Privacy-preserving Robotic-based Multi-factor Authentication Scheme for Secure Automated Delivery System. IEEE Transactions on Information Forensics and Security, 1-1.
  • Xun Y, Zhao Z, Li J, Gope P & Sikdar B (2024) VFLGAN-TS: Vertical Federated Learning-based Generative Adversarial Networks for Publication of Vertically Partitioned Time-series Data. ACM Transactions on Privacy and Security, abs/2409.03612.
  • Hongming F, Millwood O, Gope P, Miskelly J & Sikdar B (2024) Attacking Delay-Based PUFs With Minimal Adversarial Knowledge. IEEE Transactions on Information Forensics and Security, 19, 7259-7274.
  • Alnashwan R, Gope P & Dowling B (2024) UniHand: Privacy-Preserving Universal Handover for Small-Cell Networks in 5G-Enabled Mobile Communication with KCI Resilience. 2024 IEEE 37th Computer Security Foundations Symposium (CSF), 573-588.

Data verified 9/6/2026Source

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