Detailed virtual copies of physical objects, called digital twins, are opening doors for better products across automotive, health care, aerospace, and other industries. According to a new study, cybersecurity may also fit neatly into the digital twin portfolio.
As more robots and other manufacturing equipment become remotely accessible, new entry points for malicious cyberattacks are created. To keep pace with the growing cyber threat, 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.