| Cloudy with a chance of breach: Forecasting cyber security incidents Y Liu, A Sarabi, J Zhang, P Naghizadeh, M Karir, M Bailey, M Liu 24th {USENIX} security symposium ({USENIX} Security 15), 1009-1024, 2015 | 199 | 2015 |
| Risky business: Fine-grained data breach prediction using business profiles A Sarabi, P Naghizadeh, Y Liu, M Liu Journal of Cybersecurity 2 (1), 15-28, 2016 | 41 | 2016 |
| Predicting cyber security incidents using feature-based characterization of network-level malicious activities Y Liu, J Zhang, A Sarabi, M Liu, M Karir, M Bailey Proceedings of the 2015 ACM International Workshop on International Workshop …, 2015 | 39 | 2015 |
| From patching delays to infection symptoms: Using risk profiles for an early discovery of vulnerabilities exploited in the wild C Xiao, A Sarabi, Y Liu, B Li, M Liu, T Dumitras 27th {USENIX} Security Symposium ({USENIX} Security 18), 903-918, 2018 | 27 | 2018 |
| Patch me if you can: A study on the effects of individual user behavior on the end-host vulnerability state A Sarabi, Z Zhu, C Xiao, M Liu, T Dumitraş Passive and Active Measurement: 18th International Conference, PAM 2017 …, 2017 | 25 | 2017 |
| Characterizing the internet host population using deep learning: A universal and lightweight numerical embedding A Sarabi, M Liu Proceedings of the Internet Measurement Conference 2018, 133-146, 2018 | 20 | 2018 |
| Prioritizing Security Spending: A Quantitative Analysis of Risk Distributions for Different Business Profiles. A Sarabi, P Naghizadeh, Y Liu, M Liu WEIS, 2015 | 16 | 2015 |
| Can Less Be More? A Game-Theoretic Analysis of Filtering vs. Investment A Sarabi, P Naghizadeh, M Liu Decision and Game Theory for Security: 5th International Conference, GameSec …, 2014 | 3 | 2014 |
| Deterrence, Backup, or Insurance: A Game-Theoretic Analysis of Ransomware T Yin, A Sarabi, M Liu The Annual Workshop on the Economics of Information Security (WEIS), 2021 | 2 | 2021 |
| Quantifying Security: Methods, Challenges and Applications A Sarabi | 1 | 2018 |
| Smart Internet Probing: Scanning Using Adaptive Machine Learning A Sarabi, K Jin, M Liu Game Theory and Machine Learning for Cyber Security, 2021 | | 2021 |
| Quantitative Cybersecurity: Breach Prediction and Incentive Design M Liu, Y Liu, A Sarabi, P Naghizadeh, M Bailey, M Karir | | |
| Forecasting Cybersecurity Incidents and Its Role in Designing Incentive Mechanisms M Liu, Y Liu, A Sarabi, P Naghizadeh, M Bailey | | |
Mingyan LiuProfessor of Electrical Engineering and Computer Science, University of MichiganVerified email at umich.edu
