Armin Sarabi
Armin Sarabi
Assistant Research Scientist, University of Michigan
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
Prioritizing Security Spending: A Quantitative Analysis of Risk Distributions for Different Business Profiles.
A Sarabi, P Naghizadeh, Y Liu, M Liu
WEIS, 2015
Enhancing Vulnerability prioritization: Data-driven exploit predictions with community-driven insights
J Jacobs, S Romanosky, O Suciu, B Edwards, A Sarabi
2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2023
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
An llm-based framework for fingerprinting internet-connected devices
A Sarabi, T Yin, M Liu
Proceedings of the 2023 ACM on Internet Measurement Conference, 478-484, 2023
Deterrence, backup, or insurance: game-theoretic modeling of ransomware
T Yin, A Sarabi, M Liu
Games 14 (2), 20, 2023
Smart internet probing: Scanning using adaptive machine learning
A Sarabi, K Jin, M Liu
Game Theory and Machine Learning for Cyber Security, 411-437, 2021
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
Quantifying Security: Methods, Challenges and Applications
A Sarabi
Adaptive network probing using machine learning
A Sarabi, M Liu, JIN Kun, YIN Tongxin
US Patent App. 18/033,834, 2023
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
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