Inherent vulnerabilities of information and communication technology systems to cyber-attacks (e.g., malware) impose significant security risks to Cyber-Physical Systems (CPS). This is evidenced by a number of recent accidents. Noticeably, current distributed control of CPS is not really attack-resilient (ensuring task completion despite attacks). Although provable resilience would significantly lift the trustworthiness of CPS, existing defenses are rather ad-hoc and mainly focus on attack detection.
Security and privacy concerns in the increasingly interconnected world are receiving much attention from the research community, policymakers, and general public. However, much of the recent and on-going efforts concentrate on privacy in communication and social interactions. The advent of cyber-physical systems, which aim at tight integration between distributed computational intelligence, communication networks, physical world, and human actors, opens new possibilities for developing intelligent systems with new capabilities.
The multistep electricity price (MEP) policy has been introduced to promote energy saving, load balancing, and fairness in electricity consumption. Nonetheless, with the development of the smart grid, how to determine the quantity of electricity and at what price in a step-like fashion has not been fully investigated in the past.
Cyber-physical additive layer manufacturing, e.g. 3D printing has become a promising technology for providing cost, time, and space effective solution by reducing the gap between the designers and the manufacturers. However, the concern for the protection of intellectual property is arising in conjunction with the capabilities of supporting massive innovative designs and rapid prototyping.
This project addresses the safety and security issues that arise when giving users remote-access to a multi-robot research test-bed, where mobile robots can coordinate their behaviors in a collaborative manner. Through a public interface, users are able to schedule, and subsequently upload, their own code and run their experiments, while being provided with the scientific data produced through the experiment.
