Dr Aryan Pasikhani

About

Dr Aryan Pasikhani is a Lecturer (Assistant Professor) in Cybersecurity in the Department of Computer Science at the University of Sheffield and a member of the Security of Advanced Systems research group. He obtained his PhD from the University of Sheffield and previously served as an Academic Fellow in Cybersecurity.His research focuses on AI security, offensive AI, adversarial machine learning, reinforcement learning, privacy-preserving machine learning, intrusion detection and prevention systems, and the security, privacy, and transparency of AI/ML systems.Alongside his academic work, Dr Pasikhani is the founder of CybPass, a University of Sheffield spin-out company that provides autonomous, expert-in-the-loop security testing and compliance assurance for AI systems across the AI lifec

Selected publications

• 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.
• 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.
• Patel C, Pasikhani A, Gope P & Clark J (2024) User-empowered secure privacy-preserving authentication scheme for Digital Twin. Computers & Security, 140. View this article in WRRO
• Das S, Pasikhani AM, Gope P, Clark JA, Patel C & Sikdar B (2024) AIDPS: Adaptive intrusion detection and prevention system for underwater acoustic sensor networks. IEEE/ACM Transactions on Networking, 32(2), 1080-1095. View this article in WRRO
• Pasikhan AM, Clark JA & Gope P (2023) Incremental hybrid intrusion detection for 6LoWPAN. Computers & Security, 135. View this article in WRRO
• Pasikhani AM, Clark JA & Gope P (2022) Adversarial RL-based IDS for evolving data environment in 6LoWPAN. IEEE Transactions on Information Forensics and Security, 17, 3831-3846. View this article in WRRO
• Pasikhani AM, Clark JA, Gope P & Alshahrani A (2021) Intrusion detection systems in RPL-based 6LoWPAN: a systematic literature review. IEEE Sensors Journal, 21(11), 12940-12968. View this article in WRRO
• Yuan X, Yang Y, Gope P, Pasikhani A & Sikdar B () VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication. Proceedings on Privacy Enhancing Technologies, 2024(4), 840-858.
• Sánchez G, Olayinka O & Pasikhani A (2025) Web application penetration testing with artificial intelligence: a systematic review. 2024 22nd International Symposium on Network Computing and Applications (NCA 2024) (pp 236-245). Bertinoro, Italy, 24 October 2024 - 24 October 2024. View this article in WRRO
• Millwood O, Pehlivanoğlu MK, Mohammadi Pasikhani A, Miskelly J, Gope P & Kavun EB (2023) A generic obfuscation framework for preventing ML-attacks on strong-PUFs through exploitation of DRAM-PUFs. 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P) (pp 92-106). Delft, Netherlands, 3 July 2023 - 3 July 2023. View this article in WRRO