Dr Aryan Pasikhani, PhD
Academic Fellow in the Department of Computer Science (Cybersecurity)
Member of the Security of Advanced Systems research group at The University of Sheffield
Biography
Dr Aryan Pasikhani, who obtained his PhD from the University of Sheffield, has established distinguished contributions in the realm of cybersecurity research. Following his doctoral studies, he became affiliated with the Security of Advanced Systems Group at the University of Sheffield as a Post-Doctoral Researcher. He has since ascended to the role of Academic Fellow in Cybersecurity at the same esteemed institution.
Dr. Pasikhani’s scholarly endeavours are underscored by his dedication to producing impactful research in the disciplines of Computer and Network Security. His investigative compass predominantly gravitates towards areas such as intrusion detection and prevention systems, reinforcement learning, machine learning, privacy-preserved machine learning, quantum computing, and the robust security measures inherent in embedded systems.
In addition to his research pursuits, Dr. Pasikhani has been a pivotal member of the Technical Program Committee (TPC). His commitment to advancing academic rigour is evident in his peer review contributions to a slew of prestigious international journals and conferences, notably the IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, and the IEEE Sensors Journal.
News
"New”: Our paper "VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication" has been Accepted in the Privacy Enhancing Technologies Symposium (PETS) 2024.
"New”: Our paper "A Generic Obfuscation Framework for Preventing ML-Attacks on Strong-PUFs through Exploitation of DRAM-PUFs" has been Accepted in the Euro S&P 2023.
"New”: Our paper "AIDPS: Adaptive Intrusion Detection and Prevention System for Underwater Acoustic Sensor Networks" has been Accepted in the IEEE/ACM Transactions on Networking.
"New”: Our paper "User-empowered secure privacy-preserving authentication scheme for Digital Twin" has been Accepted in the Computers & Security Journal.
Research Interest
Intrusion Detection and Prevention Systems
Reinforcement-Learning-based security systems
Adversarial Machine Learning
Privacy-Preserving Machine Learning
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
Quantum Machine Learning
Professional Activities
Invited Reviewer for the Following Journals:
Invited Reviewer for IEEE Transactions on Industrial Informatics Journal (Reviewed 16 papers)
Invited Reviewer for IEEE Internet of Things Journal (Reviewed 12 papers)
Invited Reviewer for IEEE Transactions on Information Forensics and Security Journal
Invited Reviewer for IEEE Sensors Journal
Invited Reviewer for IEEE Systems Journal
TPC Member of the Following Conferences:
IEEE CSR SPARC 2024 [Link]
15th International Conference on Sensing Technology (ICST’15)
Selected Publication Lists
Selected Journal Papers
AM. Pasikhani. Clark, J. A., & Gope, P. “Adversarial RL-based IDS for Evolving Data Environment in 6LoWPAN” IEEE Transactions on Information Forensics & Security, 2022 (SCI, EI). [Link]
AM. Pasikhani, Clark, J. A., & Gope, P. "Incremental Hybrid Intrusion Detection for 6LoWPAN" Computers & Security, 2023 (SCI, EI). [Link]
AM. Pasikhani, Clark, J. A., & Gope, P and A. Alshahrani, "Intrusion Detection Systems in RPL-Based 6LoWPAN: A Systematic Literature Review," in IEEE Sensors Journal, 2021 (SCI, EI). [Link]
S. Das, AM. Pasikhani, P. Gope, J. A. Clark, C. Patel and B. Sikdar, "AIDPS: Adaptive Intrusion Detection and Prevention System for Underwater Acoustic Sensor Networks," in IEEE/ACM Transactions on Networking, 2023 (SCI, EI). [Link]
Patel, C., AM. Pasikhani, Gope, P., & Clark, J. "Secure privacy-preserving authentication scheme for Digital Twin". Computers & Security, 2024 (SCI, EI). [Link].
Selected Conference Papers
AM. Pasikhani. JA Clark, and P Gope, “Reinforcement-Learning-based IDS for 6LoWPAN,” 20th IEEE International Conference on Trust, Security and Privacy in Computing and Communication (IEEE TrustCom 2021),18-20 Aug. 2021. [Link]
O. Millwood, AM. Pasikhani. P Gope et al. “A Generic Obfuscation Framework for Preventing ML-Attacks on Strong-PUFs through Exploitation of DRAM-PUFs,” IEEE European Symposium on Security and Privacy (Euro S&P 2023). [Link]
Bartsch, W., Gope, P., Millwood, O., AM. Pasikhani. "Design Rationale for Symbiotically Secure Key Management Systems in IoT and Beyond". (ICISSP 2023). [Link]
Y. Xun, AM. Pasikhani et al. “VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication,” 24th Privacy Enhancing Technologies Symposium (PETS) 2024, 15-20 July, Bristol, UK, 2024. [Link]
Research Grants
ATM: Automated Threat Modelling for Enterprise AI-enabled Assets-Phase II, CyberASAP (Innovation Funding Service) (Innovate UK), [08/2023-3/2024]: £60,000 – as Principal Investigator.
ATM: Automated Threat Modelling for Enterprise AI-enabled Assets, CyberASAP (Innovation Funding Service) (Innovate UK), [05/2023-08/2023]: £25,000 – as Principal Investigator.
ATDPS: Adaptive Trojan Detection and Prevention Systems for Networks-on-Chips (NoCs)-Phase II, CyberASAP (Innovation Funding Service) (Innovate UK) [09/2022-02/2023]: £52,433 – as Co-Investigator & Mentor.
ATDPS: Adaptive Trojan Detection and Prevention Systems for Networks-on-Chips (NoCs), CyberASAP (Innovation Funding Service) (Innovate UK) [04/2022-07/2022]: £22,316 – as Co-Investigator & Mentor.
Teaching
COM6017: Security of Control and Embedded Systems
PhD Students
Chenyu Fan (University of Sheffield)