4 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…