| Autor: |
Farzad Ferdowsi, S.M. Safayet Ullah, Ali Jafarian Abianeh, Masoud Barati, Kamal Basulaiman |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 IEEE Green Technologies Conference (GreenTech). |
| DOI: |
10.1109/greentech48523.2021.00060 |
| Popis: |
This paper aims to provide a brief summary of measurable factors affecting the adoption of cybersecurity enhancement techniques. From the practicality perspective, it is important to know that “to what degree” the cyber resilience will be improved by adopting a resilience enhancement scheme that requires a certain amount of financial investment. Numerous strategies have been proposed in different sets of literature to make smart grids more resilient against cyber attack. In this paper, the recent proposed techniques published within the past few years are further discussed in terms of three measurable factors including accuracy, computational time, and robustness with an emphasis on false data injection attacks. There is no single solution that would fit all needs in the power industry. Therefore, recently proposed attack detection and recognition schemes are compared and discussed quantitatively. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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