250 result(s)
Scalable VPN-forwarded Honeypots Dataset and Threat Intelligence Insights
Journal papers
Scalable VPN-forwarded Honeypots: Dataset and Threat Intelligence Insights
Yan Lin Aung, Hui Hui Tiang, Herman Wijaya, Martin Ochoa, and Jianying Zhou, “Scalable VPN-forwarded Honeypots: Dataset and Threat Intelligence Insights”, Sixth annual Industrial Control System Security Workshop (ICSS 2020), Dec 2020.
Towards Systematically Deriving Defence Mechanisms from Functional Requirements of Cyber-Physical Systems
Journal papers
Towards Systematically Deriving Defence Mechanisms from Functional Requirements of Cyber-Physical Systems
Cheah Huei Yoong, Venkata Reddy Palleti, Arlindo Silva, and Christopher M. Poskitt, “Towards Systematically Deriving Defence Mechanisms from Functional Requirements of Cyber-Physical Systems”, Proceedings of the 6th ACM Cyber-Physical System Security Workshop (CPSS 2020), October 2020, Pages 11-22, https://doi.org/10.1145/3384941.3409589
Validating Anomaly Detection Mechanisms in Industrial Control Systems
Journal papers
Validating Anomaly Detection Mechanisms in Industrial Control Systems
Salimah Liyakkathali, Francisco Furtado, Gayathri Sugarmar, Aditya Mathur, “Validating Anomaly Detection Mechanisms in Industrial Control Systems”, Thirteenth International Tools and Methods of Competitive Engineering Symposium (TMCE) 2020. (accepted)
Probabilistically Robust AC Optimal Power Flow
Journal papers
Probabilistically Robust AC Optimal Power Flow
Chamanbaz M., Dabbene F., Lagoa C. M., “Probabilistically Robust AC Optimal Power Flow,” IEEE Transactions on Control of Network Systems, 05 June 2019
Framework for Continuous System Security Protection in SWaT
Conference papers/presentations
Framework for Continuous System Security Protection in SWaT
Yoong Cheah Huei and Jonathan Heng, “Framework for Continuous System Security Protection in SWaT”, 2nd International Conference on Cyber Physical Systems and IoT (CPSIOT 2019), Mach 2019
A Physics-Based Attack Detection Technique in Cyber-Physical Systems A Model Predictive Control Co-Design Approach
Conference papers/presentations
A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach
Chamanbaz M., Dabbene F. and Bouffanais R., “A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach,” 2019 Australian & New Zealand Control Conference
A Real-time Response Mechanism to Cyber-physical Attacks on Water Distribution Systems
Conference papers/presentations
A Real-time Response Mechanism to Cyber-physical Attacks on Water Distribution Systems
Taormina R., Galelli S., Salomons E., “A Real-time Response Mechanism to Cyber-physical Attacks on Water Distribution Systems,” 17th International Computing & Control for the Water Industry Conference 2019
A Systematic Framework to Generate Invariant Rules for Anomaly Detection in Industrial Control Systems
Conference papers/presentations
A Systematic Framework to Generate Invariant Rules for Anomaly Detection in Industrial Control Systems
Cheng F., Palleti V. R, Mathur A., Chana D., “A Systematic Framework to Generate Invariant Rules for Anomaly Detection in Industrial Control Systems,” The Network and Distributed System Security Symposium (NDSS) 2019
A Template-based Method for the Generation of Attack Trees
Conference papers/presentations
A Template-based Method for the Generation of Attack Trees
Bryans J., Liew L. S., Nguyen H. N., Sabaliauskaite G., Shaikh S., and Zhou F., “A Template-based Method for the Generation of Attack Trees,” 13th WISTP International Conference on Information Security Theory and Practice (WISTP’2019)
A Toolbox for Assessing the Impacts of Cyber-physical Attacks on Water Distribution Systems
Journal papers
A Toolbox for Assessing the Impacts of Cyber-physical Attacks on Water Distribution Systems
Taormina R., Galelli S., Douglas H.C. , Tippenhauer N.O. , Salomon E. & Ostfeld A., “A Toolbox for Assessing the Impacts of Cyber-physical Attacks on Water Distribution Systems,” Journal of Environmental Modelling and Software