| Title | Vulnerability Modeling and Protection Strategies via Supervisory Control Theory |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Ogawa, Kanta, Sawada, Kenji, Sakata, Kosei |
| Conference Name | 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) |
| Keywords | Behavioral sciences, Consumer electronics, control system security, control theory, Human Behavior, human factors, IP networks, pubcrawl, reinforcement learning, resilience, Resiliency, Scalability, security, supervisory control |
| Abstract | The paper aims to discover vulnerabilities by application of supervisory control theory and to design a defensive supervisor against vulnerability attacks. Supervisory control restricts the system behavior to satisfy the control specifications. The existence condition of the supervisor, sometimes results in undesirable plant behavior, which can be regarded as a vulnerability of the control specifications. We aim to design a more robust supervisor against this vulnerability. |
| Notes | ISSN: 2378-8143 |
| DOI | 10.1109/GCCE56475.2022.10014366 |
| Citation Key | ogawa_vulnerability_2022 |
Vulnerability Modeling and Protection Strategies via Supervisory Control Theory