This research assesses the threat of cyber-physical attacks to manufacturing systems that change the design of a physical part, elude quality control measures, and result in part failure. This goal is achieved through the development of: a cyber-physical attack taxonomy, framework to assess levels of cyber-physical vulnerability, models to detect and diagnose the presence of attacks in real-time, and side-channel detection techniques specific to manufacturing.

Abstract: 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.