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Published in:
2014 | OriginalPaper | Chapter
Applying Cognitive Memory to CyberSecurity
Author : Bruce McCormick
Published in: Network Science and Cybersecurity
Publisher: Springer New York
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Abstract
Investigative data mining involves organizing, sorting, clustering and segmenting of data to detect and predict criminal behavior. Many of these tasks can be aided by the use of neural networks- Cognimem’s CM1 K cognitive memory being a practical and commercially available example. One can construct a vector of various attributes and compare this against known errant behavior. Profiles can be constructed by criminologists, compared and flagged within predefined limits. Cognitive memory can accelerate this process.