250 result(s)
FieldFuzz In Situ Blackbox Fuzzing of Proprietary Industrial Automation Runtimes via the Network
Journal papers
FieldFuzz: In Situ Blackbox Fuzzing of Proprietary Industrial Automation Runtimes via the Network
Bytes, A., Rajput, P. H. N., Doumanidis, C., Maniatakos, M., Zhou, J., & Tippenhauer, N. O. (2023, October). Fieldfuzz: In situ blackbox fuzzing of proprietary industrial automation runtimes via the network. In Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses (pp. 499-512).
AICrit A Design-Enhanced Anomaly Detector and Its Performance Assessment in a Water Treatment Plant
Journal papers
AICrit: A Design-Enhanced Anomaly Detector and Its Performance Assessment in a Water Treatment Plant
Gauthama Raman and Aditya Mathur, “AICrit: A Design-Enhanced Anomaly Detector and Its Performance Assessment in a Water Treatment Plant” Appl. Sci. 2023, 13(24), 13124
DNAttest Digital-twin-based Non-intrusive Attestation under Transient Uncertainty
Journal papers
DNAttest: Digital-twin-based Non-intrusive Attestation under Transient Uncertainty
Wei Lin, Heng Chuan Tan, Binbin Chen “DNAttest: Digital-twin-based Non-intrusive Attestation under Transient Uncertainty”, DSN 2023
Finding Causally Different Tests for an Industrial Control System
Journal papers
Finding Causally Different Tests for an Industrial Control System
Christopher M. Poskitt, Yuqi Chen, Jun Sun, Yu Jiang, “Finding Causally Different Tests for an Industrial Control System”, ICSE’23 (45th IEEE/ACM International Conference on Software Engineering)
AICrit A unified framework for real-time anomaly detection in water treatment plants
Journal papers
AICrit: A unified framework for real-time anomaly detection in water treatment plants
Gauthama Raman M R, and Aditya P. Mathur. “AICrit: A unified framework for real-time anomaly detection in water treatment plants.” Journal of Information Security and Applications 64 (2022): 103046.
Detecting Hidden Attackers in Photovoltaic systems Using Machine Learning
Journal papers
Detecting Hidden Attackers in Photovoltaic systems Using Machine Learning
Suman Sourav, Partha P. Biswas, Binbin Chen, Daisuke Mashima, “Detecting Hidden Attackers in Photovoltaic systems Using Machine Learning”, IEEE SmartGridComm 2022
Mitigating Adversarial Attacks on Data-Driven Invariant Checkers for Cyber-Physical Systems
Journal papers
Mitigating Adversarial Attacks on Data-Driven Invariant Checkers for Cyber-Physical Systems
Rajib Ranjan Maiti , Cheah Huei Yoong, Venkata Reddy Palleti, Arlindo Silva, and Christopher M. Poskitt, “Mitigating Adversarial Attacks on Data-Driven Invariant Checkers for Cyber-Physical Systems”, IEEE Transactions on Dependable and Secure Computing (2022).
OpenPLC61850 An IEC 61850 MMS Compatible Open Source PLC for Smart Grid Research
Journal papers
OpenPLC61850: An IEC 61850 MMS Compatible Open Source PLC for Smart Grid Research
Muhammad M. Roomi, Wen Shei Ong, Daisuke Mashima, and S. M. Suhail Hussain, “OpenPLC61850: An IEC 61850 MMS Compatible Open Source PLC for Smart Grid Research.” 2022 In Press for Elsevier SoftwareX.
Protecting the Integrity of AMI Data and Firmware With A Feather-Light Blockchain Infrastructure
Journal papers
Protecting the Integrity of AMI Data and Firmware With A Feather-Light Blockchain Infrastructure
Daniel Reijsbergen, Aung Maw, Sarad Venugopalan, Tien Tuan Anh Dinh, “Protecting the Integrity of AMI Data and Firmware With A Feather-Light Blockchain Infrastructure” IEEE International Conference on Blockchain and Cryptocurrency 2022
Securing Smart Grids Through an Incentive Mechanism for Blockchain-Based Data Sharing
Journal papers
Securing Smart Grids Through an Incentive Mechanism for Blockchain-Based Data Sharing
Daniël Reijsbergen, Aung Maw, Tien Tuan Anh Dinh, Wentai Li, and Chau Yuen “Securing Smart Grids Through an Incentive Mechanism for Blockchain-Based Data Sharing” 12th ACM Conference on Data and Application Security and Privacy 2022