255 result(s)
Conference paper/presentation
VaktBLE: A Benevolent Man-in-the-Middle Bridge to Guard against Malevolent BLE Connections
Benita, G., Sestrem, L., Garbelini, M. E., Chattopadhyay, S., Sun, S., & Kurniawan, E. (2024, December). VaktBLE: A Benevolent Man-in-the-Middle Bridge to Guard against Malevolent BLE Connections. In 2024 Annual Computer Security Applications Conference (ACSAC) (pp. 621-635). IEEE, https://doi.org/10.1109/ACSAC63791.2024.00059
Conference paper/presentation
CRaaS: Cloud-based Smart Grid Cyber Range for Scalable Cybersecurity Experiments and Training
Chng, B., Ng, B., Roomi, M. M., Mashima, D., & Lou, X. (2024, September). CRaaS: Cloud-based Smart Grid Cyber Range for Scalable Cybersecurity Experiments and Training. In 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (pp. 333-339). IEEE, https://doi.org/10.1109/SmartGridComm60555.2024.10738051
Conference paper/presentation
5Ghoul framework: 5G NR attacks & 5G OTA fuzzing
Garbelini, M. E., & Chattopadhyay, S. (2024, August). 5Ghoul framework: 5G NR attacks & 5G OTA fuzzing [Conference demonstration]. DEF CON 32 Hacking Conference, Las Vegas, NV, United States. https://defcon.org/html/defcon-32/dc-32-demolabs.html
DRACE: A framework for evaluating anomaly detectors for industrial control systems.
Christian, I., Furtado, F., & Mathur, A. P. (2024). DRACE: A framework for evaluating anomaly detectors for industrial control systems. In Proceedings of the 10th ACM Cyber-Physical System Security Workshop (CPSS ’24) (pp. 77-87). Association for Computing Machinery. https://doi.org/10.1145/3626205.3659145
Conference paper/presentation
Substation simulation synchronization: Towards a distributed and scaled power grid cyber range
Biswas, J., Godse, R., Chen, B., Roomi, M. M., & Ng, B. (2024). Substation simulation synchronization: Towards a distributed and scaled power grid cyber range. In Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems (e-Energy ’24) (pp. 655-663). Association for Computing Machinery. https://doi.org/10.1145/3632775.3661992
Journal paper
U-Fuzz: Stateful Fuzzing of IoT Protocols on COTS Devices
Shang, Z., Garbelini, M. E., & Chattopadhyay, S. (2024, May). U-fuzz: Stateful fuzzing of iot protocols on cots devices. In 2024 IEEE Conference on Software Testing, Verification and Validation (ICST) (pp. 209-220). IEEE. https://doi.org/10.1109/ICST60714.2024.00027
Journal paper
Exposing Hidden Attackers in Industrial Control Systems using Micro-distortions
Sourav, S., & Chen, B. (2023). Exposing hidden attackers in industrial control systems using micro-distortions. IEEE Transactions on Smart Grid, 15(2), 2089-2101. https://doi.org/10.1109/TSG.2023.3300710
Conference paper/presentation
Adaptive Data-Driven LSTM Model for Sensor Drift Detection in Water Utilities
Abisheg S, Gauthama Raman M R, Aditya P Mathur, “Adaptive Data-Driven LSTM Model for Sensor Drift Detection in Water Utilities” International Conference on Applications and Techniques in Information Security 2024, https://doi.org/10.1007/978-981-97-9743-1_16
Journal paper
Fusing Design and Machine Learning for Anomaly Detection in Water Treatment Plants
Gauthama Raman and Aditya Mathur, “Fusing Design and Machine Learning for Anomaly Detection in Water Treatment Plants” Electronics 2024, 13(12), 2267, https://doi.org/10.3390/electronics13122267
Journal paper
HoneyJudge: A PLC Honeypot Identification Framework Based on Device Memory Testing
Zhu, H., Liu, M., Chen, B., Che, X., Cheng, P., & Deng, R. (2024). HoneyJudge: A PLC Honeypot Identification Framework Based on Device Memory Testing. IEEE Transactions on Information Forensics and Security, https://doi.org/10.1109/TIFS.2024.3407520