Enhancing resilience and security in the U.S. power grid against cyber-physical attacks
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| Autores principales: | , , |
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2024
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| _version_ | 1866902138937933824 |
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| author | Innocent O. Asevameh Oladipupo M. Dopamu Joseph S. Adesiyan |
| author_facet | Innocent O. Asevameh Oladipupo M. Dopamu Joseph S. Adesiyan |
| contents | <div>The U.S. power grid faces increasing risks from cyber-physical attacks that could disrupt essential services and compromise national security. The fusion of artificial intelligence with cybersecurity protocols is perceived to present a consequential shift in the current efforts to safeguard critical infrastructures. This manuscript aims to identify the most critical vulnerabilities within the power grid's infrastructure, develop advanced machine learning-based threat detection systems, and propose automated response mechanisms to mitigate impacts effectively. By integrating comprehensive vulnerability assessments, innovative detection technologies, and autonomous response strategies, this study seeks to enhance the resilience of the power grid against sophisticated cyber threats.</div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14607697 |
| institution | Zenodo |
| language | eng |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Enhancing resilience and security in the U.S. power grid against cyber-physical attacks Innocent O. Asevameh Oladipupo M. Dopamu Joseph S. Adesiyan Energy grid Cyber-physical security Cyber-attack IoT and non IoT Devices AI-driven cybersecurity Vulnerabilities <div>The U.S. power grid faces increasing risks from cyber-physical attacks that could disrupt essential services and compromise national security. The fusion of artificial intelligence with cybersecurity protocols is perceived to present a consequential shift in the current efforts to safeguard critical infrastructures. This manuscript aims to identify the most critical vulnerabilities within the power grid's infrastructure, develop advanced machine learning-based threat detection systems, and propose automated response mechanisms to mitigate impacts effectively. By integrating comprehensive vulnerability assessments, innovative detection technologies, and autonomous response strategies, this study seeks to enhance the resilience of the power grid against sophisticated cyber threats.</div> |
| title | Enhancing resilience and security in the U.S. power grid against cyber-physical attacks |
| topic | Energy grid Cyber-physical security Cyber-attack IoT and non IoT Devices AI-driven cybersecurity Vulnerabilities |
| url | https://doi.org/10.5281/zenodo.14607697 |