Intrusion Detection for Additive Manufacturing Systems and Networks.

Additive manufacturing (3D printing) has been seeing growth in recent years with the widespread use of 3D printers for production in different industries. As these systems become integrated into enterprise networks, the cybersecurity aspect of their functioning is gaining importance. In particular, there exist risks that these devices are exposed to a wide variety of data breaches. The latter range from unauthorized access to the printed designs to Stuxnet-like malware attacks. This research focuses on vulnerability and threat analysis for 3D Printers. Our ultimate goal is to introduce intrusion detection systems, which effectively address the current security challenges.