| Title | Security Vulnerability and Mitigation in Photovoltaic Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Dubasi, Yatish, Khan, Ammar, Li, Qinghua, Mantooth, Alan |
| Conference Name | 2021 IEEE 12th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) |
| Date Published | jun |
| Keywords | Intrusion detection, Inverters, mitigation, performance evaluation, Photovoltaic systems, Prototypes, pubcrawl, resilience, Resiliency, Scalability, security, Security by Default, security vulnerability, Software |
| Abstract | Software and firmware vulnerabilities pose security threats to photovoltaic (PV) systems. When patches are not available or cannot be timely applied to fix vulnerabilities, it is important to mitigate vulnerabilities such that they cannot be exploited by attackers or their impacts will be limited when exploited. However, the vulnerability mitigation problem for PV systems has received little attention. This paper analyzes known security vulnerabilities in PV systems, proposes a multi-level mitigation framework and various mitigation strategies including neural network-based attack detection inside inverters, and develops a prototype system as a proof-of-concept for building vulnerability mitigation into PV system design. |
| DOI | 10.1109/PEDG51384.2021.9494252 |
| Citation Key | dubasi_security_2021 |
Security Vulnerability and Mitigation in Photovoltaic Systems