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Conference proceeding
Neurosymbolic AI in Cybersecurity: Bridging Pattern Recognition and Symbolic Reasoning
MILCOM IEEE Military Communications Conference, pp.268-273
IEEE Military Communications Conference (MILCOM): MILCOM 2023 (Boston, Massachusetts, USA, 10/30/2023–11/03/2023)
11/2023
Web of Science ID: WOS:001156887600053
Abstract
In the face of escalating cyber threats, traditional security measures often fall short, prompting the need for more advanced and interpretable solutions. Neurosymbolic AI, which synergistically combines the pattern recognition capabilities of neural networks with the explicit reasoning of symbolic systems, presents a promising avenue in this realm. This paper offers a comprehensive exploration of Neurosymbolic AI and its potential in enhancing Intrusion Detection Systems (IDS). By integrating data-driven learning with structured reasoning, Neurosymbolic AI promises more robust, adaptive, and transparent cybersecurity solutions. However, challenges such as model interpretability, data requirements, and adaptability in dynamic threat landscapes persist. This paper provides an overview of these challenges, emphasizing the transformative potential of Neurosymbolic AI in fortifying the cybersecurity domain.
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Details
- Title
- Neurosymbolic AI in Cybersecurity
- Publication Details
- MILCOM IEEE Military Communications Conference, pp.268-273
- Resource Type
- Conference proceeding
- Conference
- IEEE Military Communications Conference (MILCOM): MILCOM 2023 (Boston, Massachusetts, USA, 10/30/2023–11/03/2023)
- Publisher
- IEEE
- Number of pages
- 6
- Grant note
- U.S. Military Academy (10.13039/100009923) Advanced Research Projects Agency (10.13039/100009224) Army Research Laboratory (10.13039/100006754)
- Copyright
- © 2023, IEEE
- Identifiers
- WOS:001156887600053; 99381512427806600
- Academic Unit
- Intelligent Systems and Robotics; Hal Marcus College of Science and Engineering
- Language
- English