119 citations · 149 across the 10 of their papers we have counts for
10 papers
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…
DASH: Deception-Augmented Shared Mental Model for a Human-Machine Teaming System
Zelin Wan, Han Jun Yoon, Nithin Alluru +6
We present DASH (Deception-Augmented Shared mental model for Human-machine teaming), a novel framework that enhances mission resilience by embedding proactive deception into Shared…
Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning
Dian Chen, Zelin Wan, Dong Sam Ha +1
Solar sensor-based monitoring systems have become a crucial agricultural innovation, advancing farm management and animal welfare through integrating sensor technology, Internet-of…
Advancing Human-Machine Teaming: Concepts, Challenges, and Applications
Dian Chen, Han Jun Yoon, Zelin Wan +9
Human-Machine Teaming (HMT) is revolutionizing collaboration across domains such as defense, healthcare, and autonomous systems by integrating AI-driven decision-making, trust cali…
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning
Zelin Wan, Jin-Hee Cho, Mu Zhu +3
This paper introduces a novel approach, Decision Theory-guided Deep Reinforcement Learning (DT-guided DRL), to address the inherent cold start problem in DRL. By integrating decisi…
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning
Zhen Guo, Zelin Wan, Qisheng Zhang +7
An in-depth understanding of uncertainty is the first step to making effective decisions under uncertainty. Deep/machine learning (ML/DL) has been hugely leveraged to solve complex…
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…
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…
A Survey on Centrality Metrics and Their Implications in Network Resilience
Zelin Wan, Yash Mahajan, Beom Woo Kang +2
Centrality metrics have been used in various networks, such as communication, social, biological, geographic, or contact networks. In particular, they have been used in order to st…
Diversity-By-Design for Dependable and Secure Cyber-Physical Systems: A Survey
Qisheng Zhang, Abdullah Zubair Mohammed, Zelin Wan +2
Diversity-based security approaches have been studied for several decades since the 1970's. The concept of diversity-by-design emerged in the 1980's and, since then, diversity-base…