How Digital Twins Could Protect Manufacturers From Cyberattacks
A team of researchers at the National Institute of Standards and Technology (NIST) and the University of Michigan devised a cybersecurity framework that brings digital twin technology together with machine learning and human expertise to flag indicators of cyberattacks. In a paper published in IEEE Transactions on Automation Science and Engineering, the researchers showed the feasibility of their strategy by detecting cyberattacks aimed at a 3D printer in their lab.