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Proceedings Paper

Computational intelligence and neuromorphic computing potential for cybersecurity applications
Author(s): Robinson E. Pino; Michael J. Shevenell; Hasan Cam; Pierre Mouallem; Justin L. Shumaker; Arthur H. Edwards
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Paper Abstract

In today’s highly mobile, networked, and interconnected internet world, the flow and volume of information is overwhelming and continuously increasing. Therefore, it is believed that the next frontier in technological evolution and development will rely in our ability to develop intelligent systems that can help us process, analyze, and make-sense of information autonomously just as a well-trained and educated human expert. In computational intelligence, neuromorphic computing promises to allow for the development of computing systems able to imitate natural neurobiological processes and form the foundation for intelligent system architectures.

Paper Details

Date Published: 28 May 2013
PDF: 5 pages
Proc. SPIE 8751, Machine Intelligence and Bio-inspired Computation: Theory and Applications VII, 87510B (28 May 2013); doi: 10.1117/12.2018551
Show Author Affiliations
Robinson E. Pino, ICF International (United States)
Michael J. Shevenell, ICF International (United States)
Hasan Cam, U.S. Army Research Lab. (United States)
Pierre Mouallem, U.S. Army Research Lab. (United States)
Justin L. Shumaker, U.S. Army Research Lab. (United States)
Arthur H. Edwards, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 8751:
Machine Intelligence and Bio-inspired Computation: Theory and Applications VII
Misty Blowers; Olga Mendoza-Schrock, Editor(s)

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