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Building a Use Case-Driven Adversarial Threat Matrix: A Comprehensive Approach | IEEE Conference Publication | IEEE Xplore

Building a Use Case-Driven Adversarial Threat Matrix: A Comprehensive Approach


Abstract:

To effectively safeguard against increasingly so-phisticated and diverse cybersecurity threats, particularly those driven by Artificial Intelligence, a comprehensive unde...Show More

Abstract:

To effectively safeguard against increasingly so-phisticated and diverse cybersecurity threats, particularly those driven by Artificial Intelligence, a comprehensive understanding of the threat landscape is essential. A multifaceted threat matrix is introduced in this paper, developed within the KINAITI CS project and derived from the analysis of six diverse use cases and insights gathered from expert workshops. The matrix aims to highlight and prioritize emerging threats posed by AI -driven attacks and vulnerabilities.
Date of Conference: 02-04 September 2024
Date Added to IEEE Xplore: 24 September 2024
ISBN Information:
Conference Location: London, United Kingdom

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