Computational intelligence and neuromorphic computing potential for cybersecurity applications

Robinson E. Pino; Michael J. Shevenell; Hasan Cam; Pierre Mouallem; Justin L. Shumaker; Arthur H. Edwards

doi:10.1117/12.2018551

28 May 2013 Computational intelligence and neuromorphic computing potential for cybersecurity applications

Robinson E. Pino, Michael J. Shevenell, Hasan Cam, Pierre Mouallem, Justin L. Shumaker, Arthur H. Edwards

Proceedings Volume 8751, Machine Intelligence and Bio-inspired Computation: Theory and Applications VII; 87510B (2013) https://doi.org/10.1117/12.2018551
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

Robinson E. Pino, Michael J. Shevenell, Hasan Cam, Pierre Mouallem, Justin L. Shumaker, and Arthur H. Edwards "Computational intelligence and neuromorphic computing potential for cybersecurity applications", Proc. SPIE 8751, Machine Intelligence and Bio-inspired Computation: Theory and Applications VII, 87510B (28 May 2013); https://doi.org/10.1117/12.2018551

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