Dr Aryan Pasikhani
School of Computer Science
Lecturer in Cybersecurity
Member of the Security of Advanced Systems research group
aryan.pasikhani@sheffield.ac.uk
Regent Court (DCS)
Full contact details
Dr Aryan Pasikhani
School of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
School of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
- Profile
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Dr Aryan Mohammadi Pasikhani received his Ph.D. degree from The University of Sheffield. He is currently a Lecturer in Cybersecurity. His major research interests lie in intrusion detection and prevention systems, reinforcement learning, machine learning, quantum computing, and securing embedded systems. He has served as the TPC Member and a Peer Reviewer for several reputable international journals and conferences, such as the IEEE INTERNET OF THINGS JOURNAL, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, and IEEE SENSORS JOURNAL.
- Research interests
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- Intrusion Detection and Prevention Systems
- Reinforcement-Learning-based security systems
- Security and Privacy in Internet of Things
- Machine-learning or Modelling Attacks
- Security and Privacy in Mobile Communication
- Security of WSN and Low-power and Lossy Networks
- Security and Privacy in Smart-Grid
- Hardware Security of the IoT Devices
- 5G and Next Generation Communication Security
- Security and Privacy in Tactile-Internet-based Applications
- Publications
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Journal articles
- User-empowered secure privacy-preserving authentication scheme for Digital Twin. Computers & Security, 140, 103793-103793.
- AIDPS: Adaptive Intrusion Detection and Prevention System for Underwater Acoustic Sensor Networks. IEEE/ACM Transactions on Networking, PP(99), 1-16.
- Incremental hybrid intrusion detection for 6LoWPAN. Computers & Security, 135, 103447-103447.
- 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
- Intrusion Detection Systems in RPL-Based 6LoWPAN: A Systematic Literature Review. IEEE Sensors Journal, 21(11), 12940-12968.
Conference proceedings papers
- 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), 3 July 2023 - 7 July 2023.
- Design Rationale for Symbiotically Secure Key Management Systems in IoT and Beyond. Proceedings of the 9th International Conference on Information Systems Security and Privacy (pp 583-591), 22 February 2023 - 22 February 2023.
- Reinforcement-Learning-based IDS for 6LoWPAN. 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Vol. 00 (pp 1049-1060), 20 October 2021 - 20 October 2021.
- Web application penetration testing with artificial intelligence: a systematic review. 2024 22nd International Symposium on Network Computing and Applications (NCA 2024). Bertinoro, Italy, 24 October 2024 - 24 October 2024. View this article in WRRO
Preprints
- VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication, arXiv.
- Adaptive Hybrid Heterogeneous IDS for 6LoWPAN, arXiv.
- User-empowered secure privacy-preserving authentication scheme for Digital Twin. Computers & Security, 140, 103793-103793.
- Grants
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- ATM II: Automated Threat Modelling for Enterprise AI-enabled Assets, Innovate UK, 10/2023 - 03/2024, £59,376, as PI
- ATM: Automated Threat Modelling for Enterprise AI-enabled Assets, Innovate UK, 05/2023 - 09/2023, £24,977, as PI
- ATDPS: Adaptive Trojan Detection and Prevention Systems for Networks-onChips (NoCs) - Phase II, Innovate UK, 09/2022 - 02/2023, £52,433, as Co-PI
- ATDPS: Adaptive Trojan Detection and Prevention Systems for Networks-on-Chips (NoCs), Innovate UK, 04/2022 - 07/2022, £22,316, as Co-PI