activity
20202026
most citedOptimizing Vulnerability-Driven Honey Traffic Using Game Theory

3 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Cyber Deception for Mission Surveillance via Hypergame-Theoretic Deep Reinforcement Learning

Zelin Wan, Jin-Hee Cho, Mu Zhu +3

Unmanned Aerial Vehicles (UAVs) are valuable for mission-critical systems like surveillance, rescue, or delivery. Not surprisingly, such systems attract cyberattacks, including Den…

cs.GT20212 cited

Foureye: Defensive Deception based on Hypergame Theory Against Advanced Persistent Threats

Zelin Wan, Jin-Hee Cho, Mu Zhu +3

Defensive deception techniques have emerged as a promising proactive defense mechanism to mislead an attacker and thereby achieve attack failure. However, most game-theoretic defen…

cs.CR2021

Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey

Mu Zhu, Ahmed H. Anwar, Zelin Wan +3

Defensive deception is a promising approach for cyber defense. Via defensive deception, the defender can anticipate attacker actions; it can mislead or lure attacker, or hide real…

cs.CR2020

Role-Based Deception in Enterprise Networks

Iffat Anjum, Mu Zhu, Isaac Polinsky +3

Historically, enterprise network reconnaissance is an active process, often involving port scanning. However, as routers and switches become more complex, they also become more sus…

cs.CR20203 cited

Optimizing Vulnerability-Driven Honey Traffic Using Game Theory

Iffat Anjum, Mohammad Sujan Miah, Mu Zhu +4

Enterprises are increasingly concerned about adversaries that slowly and deliberately exploit resources over the course of months or even years. A key step in this kill chain is ne…