255 result(s)
Journal paper
Attacklets to Test Anomaly Detectors for Critical Infrastructure
Gayathri Sugumar, B. S. Salimah Liyakkathali, Aditya Mathur, “Attacklets to Test Anomaly Detectors for Critical Infrastructure”, 3rd International Workshop on Artificial Intelligence and Industrial Internet-of-Things Security (AIoTS), June 2021
Journal paper
AttkFinder: Discovering Attack Vectors in PLC Programs using Information Flow Analysis
John H. Castellanos, Martin Ochoa, Alvaro Cardenas, Owen Arden, Jianying Zhou, “AttkFinder: Discovering Attack Vectors in PLC Programs using Information Flow Analysis”, The 24th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2021), Oct 2021
Journal paper
Bank Of Models: Sensor Attack Detection and Isolation in Industrial Control Systems
Chuadhry Mujeeb Ahmed, Jianying Zhou, “Bank Of Models: Sensor Attack Detection and Isolation in Industrial Control Systems”, The 16th International Conference on Critical Information Infrastructures Security (CRITIS2021), Sep 2021.
Journal paper
Code Integrity Attestation for PLCs Using Black Box Neural Network Predictions
Yuqi Chen, Christopher M. Poskitt, Jun Sun, “Code Integrity Attestation for PLCs Using Black Box Neural Network Predictions”, ESEC/FSE’21 (29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software)
Journal paper
Cyber-attack Case Studies on Dynamic Voltage Restorer in Smart Grid
Muhammad M. Roomi, Daisuke Mashima, Nandhakumar Kandasamy, Partha P. Biswas, “Cyber-attack Case Studies on Dynamic Voltage Restorer in Smart Grid”, 2021 Applied Cryptography and Network Security Workshops
Journal paper
Deriving invariant checkers for critical infrastructure using axiomatic design principles
Cheah Huei Yoong, Venkata Reddy Palleti, Rajib Ranjan Maiti, Arlindo Silva, and Christopher M. Poskitt, “Deriving invariant checkers for critical infrastructure using axiomatic design principles”, Cybersecurity (2021).
Journal paper
Design-Knowledge in Learning Plant Dynamics for Detecting Process Anomalies in Water Treatment Plants
Lien, Sung Dillon Cheong, Gauthama Raman M R, and Aditya P. Mathur. “Design-Knowledge in Learning Plant Dynamics for Detecting Process Anomalies in Water Treatment Plants.” Computers & Security (2021): 102532.
Journal paper
Identifying Privacy Weaknesses from Multi-party Trigger-Action Integration Platforms
Kulani Mahadewa, Yanjun Zhang, Guangdong Bai, Lei Bu, Zhiqiang Zuo, Dileepa Fernando, Zhenkai Liang, Jin Song Dong, “Identifying Privacy Weaknesses from Multi-party Trigger-Action Integration Platforms”, ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2021
Journal paper
Machine learning for intrusion detection in industrial control systems: challenges and lessons from experimental evaluation
Gauthama Raman M R, Chuadhry Mujeeb Ahmed, and Aditya P. Mathur, “Machine learning for intrusion detection in industrial control systems: challenges and lessons from experimental evaluation”, Cybersecurity 4, 27 (2021). https://doi.org/10.1186/s42400-021-00095-5
Journal paper
PCAT: PLC Command Analysis Tool for automatic incidence response in Water Treatment Plants
Siddhant Shrivastava, Gauthama Raman M R and Aditya Mathur, “PCAT: PLC Command Analysis Tool for automatic incidence response in Water Treatment Plants,” 2021 IEEE International Conference on Big Data (Big Data), 2021, pp. 2151-2159, doi: 10.1109/BigData52589.2021.9671615.