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Secure Knowledge Management and Cybersecurity in the Era of Artificial Intelligence.
- Source :
- Information Systems Frontiers; Apr2023, Vol. 25 Issue 2, p425-429, 5p
- Publication Year :
- 2023
-
Abstract
- In October 2021, the Secure Knowledge Management (SKM) Conference convened many of scholars and practitioners to discuss and share ideas about the use and development of AI for SKM and cybersecurity. Over the past half-decade, numerous federal funding agencies such as the National Science Foundation (NSF), National Academies of Science (NAS), and National Security and Technology Council (NSTC) have noted the significant role that Artificial Intelligence (AI)-enabled analytics techniques such as deep learning, machine learning, network science, generative models, reinforcement learning, text analytics, and other techniques could play for Secure Knowledge Management (SKM), and more broadly, cybersecurity. Papers in each theme had a component of AI that was based in one or more of the major themes of extant AI-enabled cybersecurity and SKM research summarized in the previous section. [Extracted from the article]
Details
- Language :
- English
- ISSN :
- 13873326
- Volume :
- 25
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Information Systems Frontiers
- Publication Type :
- Academic Journal
- Accession number :
- 162851982
- Full Text :
- https://doi.org/10.1007/s10796-023-10372-y