| A survey of physics-based attack detection in cyber-physical systems J Giraldo, D Urbina, A Cardenas, J Valente, M Faisal, J Ruths, ... ACM Computing Surveys (CSUR) 51 (4), 1-36, 2018 | 476 | 2018 |
| Limiting the impact of stealthy attacks on industrial control systems DI Urbina, JA Giraldo, AA Cardenas, NO Tippenhauer, J Valente, M Faisal, ... Proceedings of the 2016 ACM SIGSAC conference on computer and communications …, 2016 | 439 | 2016 |
| Data-stream-based intrusion detection system for advanced metering infrastructure in smart grid: A feasibility study MA Faisal, Z Aung, JR Williams, A Sanchez IEEE Systems journal 9 (1), 31-44, 2014 | 219 | 2014 |
| Detecting click fraud in online advertising: a data mining approach R Oentaryo, EP Lim, M Finegold, D Lo, F Zhu, C Phua, EY Cheu, GE Yap, ... The Journal of Machine Learning Research 15 (1), 99-140, 2014 | 119 | 2014 |
| Securing advanced metering infrastructure using intrusion detection system with data stream mining MA Faisal, Z Aung, JR Williams, A Sanchez Intelligence and Security Informatics: Pacific Asia Workshop, PAISI 2012 …, 2012 | 104 | 2012 |
| Survey and new directions for physics-based attack detection in control systems DI Urbina, DI Urbina, J Giraldo, AA Cardenas, J Valente, M Faisal, ... US Department of Commerce, National Institute of Standards and Technology, 2016 | 85 | 2016 |
| A novel ensemble learning-based approach for click fraud detection in mobile advertising KS Perera, B Neupane, MA Faisal, Z Aung, WL Woon Mining Intelligence and Knowledge Exploration: First International …, 2013 | 40 | 2013 |
| Modeling Modbus TCP for intrusion detection M Faisal, AA Cardenas, A Wool 2016 IEEE Conference on Communications and Network Security (CNS), 386-390, 2016 | 29 | 2016 |
| How the quantity and quality of training data impacts re-identification of smart meter users? M Faisal, AA Cárdenas, D Mashima 2015 IEEE International Conference on Smart Grid Communications …, 2015 | 10 | 2015 |
| Profiling communications in industrial ip networks: Model complexity and anomaly detection MA Faisal, AA Cardenas, A Wool Security and Privacy Trends in the Industrial Internet of Things, 139-160, 2019 | 9 | 2019 |
| Incomplete clustering of electricity consumption: an empirical analysis with industrial and residential datasets M Faisal, AA Cardenas Cyber-Physical Systems 3 (1-4), 42-65, 2017 | 5 | 2017 |
| A novel approach based on ensemble learning for fraud detection in mobile advertising KS Perera, B Neupane, MA Faisal, Z Aung, WL Woon, A Dhabi Proceedings of the 2012 Workshop on Fraud Detection in Mobile Advertising (FDMA), 2012 | 3 | 2012 |
| Securing Advanced Metering Infrastructure (AMI) in Smart Grid using Intrusion Detection System (IDS) MA Faisal Masdar Institute of Science and Technology, 2012 | 2 | 2012 |
| Measuring the growth in complexity of models from industrial control networks MA Faisal, A Cardenas 2018 IEEE International Conference on Information Reuse and Integration (IRI …, 2018 | 1 | 2018 |
| Modeling Behavior of Industrial Control System Protocols for Intrusion Detection M Faisal | 1 | 2018 |
| Augmented query strategies for active learning in stream data mining MA Faisal, Z Aung, WL Woon, D Svetinovic Neural Information Processing: 21st International Conference, ICONIP 2014 …, 2014 | 1 | 2014 |
| Determining electrical loads D Mashima, M Faisal US Patent App. 14/857,714, 2017 | | 2017 |
| Multilayer Protection And Survivability In WDM optical Network MA Refat Kibria, Md Razib, Ali Ahsan, Md Chowdhury, Aminul Haque, Faisal DIU Journal of Science and Technology 2 (1), 1-10, 2007 | | 2007 |
Alvaro A. CardenasProfessor of Computer Science and Engineering. University of California, Santa CruzVerified email at ucsc.edu
