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AI Security Continuum: Concept and Challenges

Published: 11 June 2024 Publication History

Abstract

We propose a conceptual framework, named "AI Security Continuum," consisting of dimensions to deal with challenges of the breadth of the AI security risk sustainably and systematically under the emerging context of the computing continuum as well as continuous engineering. The dimensions identified are the continuum in the AI computing environment, the continuum in technical activities for AI, the continuum in layers in the overall architecture, including AI, the level of AI automation, and the level of AI security measures. We also prospect an engineering foundation that can efficiently and effectively raise each dimension.

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Cited By

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  • (2024)AI Security: Cyber Threats and Threat-Informed Defense2024 8th Cyber Security in Networking Conference (CSNet)10.1109/CSNet64211.2024.10851770(305-312)Online publication date: 4-Dec-2024

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cover image ACM Conferences
CAIN '24: Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI
April 2024
307 pages
ISBN:9798400705915
DOI:10.1145/3644815
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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Publication History

Published: 11 June 2024

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Author Tags

  1. AI security
  2. software engineering for AI and machine learning
  3. metamodel
  4. security risk management

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  • (2024)AI Security: Cyber Threats and Threat-Informed Defense2024 8th Cyber Security in Networking Conference (CSNet)10.1109/CSNet64211.2024.10851770(305-312)Online publication date: 4-Dec-2024

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