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Situational Awareness, Sensemaking, and Situation Understanding in Cyber Warfare Read chapter Read first chapter

2014 | OriginalPaper | Chapter

5. Trusted Computation Through Biologically Inspired Processes

Author : Gustave W. Anderson

Published in: Cybersecurity Systems for Human Cognition Augmentation

Publisher: Springer International Publishing

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Abstract

In today’s computing environments, one must assume that a subset of the system is currently, or will eventually be compromised. The proposed architecture supports design separation for high reliability and information assurance. By leveraging a hybrid fault model with multiple, parallel execution paths and resultant execution trace comparison, the proposed cognitive trust architecture identifies suspect nodes and assures trusted execution. Furthermore, the modeled architecture may be scaled through proactive thread diversity for additional assurance during threat escalation. The solution provides dynamic protection through distributing critical information across federated cloud resources that adopt a metamorphic topology, redundant execution, and the ability to break command and control of malicious agents.

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previous chapter Data Mining in Cyber Operations
next chapter Dynamic Logic Machine Learning for Cybersecurity
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Metadata
Title
Trusted Computation Through Biologically Inspired Processes
Author
Gustave W. Anderson
Copyright Year
2014
Book
Cybersecurity Systems for Human Cognition Augmentation

Print ISBN: 978-3-319-10373-0

Electronic ISBN: 978-3-319-10374-7

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-10374-7_5

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