5 papers
Automated Stealthy Wear-Out Attack on Digital Twins With Deep Reinforcement Learning
Joshua Haworth, Aryan Pasikhani, George Pavlides +2
Digital Twins (DTs) have emerged as pivotal enablers of Industry 4.0, offering transformative capabilities such as real-time monitoring, advanced simulation, and precise control of…
Baiting AI: Deceptive Adversary Against AI-Protected Industrial Infrastructures
Aryan Pasikhani, Prosanta Gope, Yang Yang +2
This paper explores a new cyber-attack vector targeting Industrial Control Systems (ICS), particularly focusing on water treatment facilities. Developing a new multi-agent Deep Rei…
Towards Irreversible Machine Unlearning for Diffusion Models
Xun Yuan, Zilong Zhao, Jiayu Li +3
Diffusion models are renowned for their state-of-the-art performance in generating synthetic images. However, concerns related to safety, privacy, and copyright highlight the need…
Privacy-preserving Robotic-based Multi-factor Authentication Scheme for Secure Automated Delivery System
Yang Yang, Aryan Mohammadi Pasikhani, Prosanta Gope +1
Package delivery is a critical aspect of various industries, but it often incurs high financial costs and inefficiencies when relying solely on human resources. The last-mile trans…
Leveraging A New GAN-based Transformer with ECDH Crypto-system for Enhancing Energy Theft Detection in Smart Grid
Yang Yang, Xun Yuan, Arwa Alromih +3
Detecting energy theft is vital for effectively managing power grids, as it ensures precise billing and prevents financial losses. Split-learning emerges as a promising decentraliz…