19 citations · 61 across the 19 of their papers we have counts for
8 papers · 1 filter
Adversarial Deep Reinforcement Learning based Adaptive Moving Target Defense
Taha Eghtesad, Yevgeniy Vorobeychik, Aron Laszka
Moving target defense (MTD) is a proactive defense approach that aims to thwart attacks by continuously changing the attack surface of a system (e.g., changing host or network conf…
Safe and Private Forward-Trading Platform for Transactive Microgrids
Scott Eisele, Taha Eghtesad, Keegan Campanelli +3
Transactive microgrids have emerged as a transformative solution for the problems faced by distribution system operators due to an increase in the use of distributed energy resourc…
Post-Incident Audits on Cyber Insurance Discounts
Sakshyam Panda, Daniel W Woods, Aron Laszka +2
We introduce a game-theoretic model to investigate the strategic interaction between a cyber insurance policyholder whose premium depends on her self-reported security level and an…
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
Liang Tong, Aron Laszka, Chao Yan +2
Detection of malicious behavior is a fundamental problem in security. One of the major challenges in using detection systems in practice is in dealing with an overwhelming number o…
Hey Google, What Exactly Do Your Security Patches Tell Us? A Large-Scale Empirical Study on Android Patched Vulnerabilities
Sadegh Farhang, Mehmet Bahadir Kirdan, Aron Laszka +1
In this paper, we perform a comprehensive study of 2,470 patched Android vulnerabilities that we collect from different data sources such as Android security bulletins, CVEDetails,…
Smart Contract Development from the Perspective of Developers: Topics and Issues Discussed on Social Media
Afiya Ayman, Shanto Roy, Amin Alipour +1
Blockchain-based platforms are emerging as a transformative technology that can provide reliability, integrity, and auditability without trusted entities. One of the key features o…