Towards trustworthy Artificial Intelligence: Security risk assessment methodology for Artificial Intelligence systems

No Thumbnail Available
Identifiers
URI: https://hdl.handle.net/11556/5006
ISSN: 2330-2194
ISBN: 9798350339826
DOI: 10.1109/CloudCom59040.2023.00054
Publication date
2023
Authors
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE Computer Society
Citations
Google Scholar
Export
Research Projects
Organizational Units
Journal Issue
Abstract
The digitalization and smartization of modern digital systems include the implementation and integration of emerging innovative technologies, such as Artificial Intelligence. By incorporating new technologies, the surface attack of the system also expands, and specialized cybersecurity mechanisms and tools are required to counter the potential new threats. This paper introduces a holistic security risk assessment methodology that aims to assist Artificial Intelligence system stakeholders guarantee the correct design and implementation of technical robustness in Artificial Intelligence systems. The methodology is designed to facilitate the automation of the security risk assessment of Artificial Intelligence components together with the rest of the system components. Supporting the methodology, the solution to the automation of Artificial Intelligence risk assessment is also proposed. Both the methodology and the tool will be validated when assessing and treating risks on Artificial Intelligence-based cybersecurity solutions integrated in modern digital industrial systems that leverage emerging technologies such as cloud continuum including Software-defined networking (SDN).
Description
Publisher Copyright: © 2023 IEEE.
Keywords
Artificial Intelligence , Cyber Security , Risk Assessment , Technical robustness , Trustworthy , Computational Theory and Mathematics , Computer Networks and Communications , Software , Theoretical Computer Science
Type
conference output
Citation
Iturbe , E , Rios , E & Toledo , N 2023 , Towards trustworthy Artificial Intelligence : Security risk assessment methodology for Artificial Intelligence systems . in Proceedings - 2023 IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2023 . Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom , IEEE Computer Society , pp. 291-297 , 14th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2023 , Naples , Italy , 4/12/23 . https://doi.org/10.1109/CloudCom59040.2023.00054
conference