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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Anderson, G.W. (2014). Trusted Computation Through Biologically Inspired Processes. In: Pino, R., Kott, A., Shevenell, M. (eds) Cybersecurity Systems for Human Cognition Augmentation. Advances in Information Security, vol 61. Springer, Cham. https://doi.org/10.1007/978-3-319-10374-7_5
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DOI: https://doi.org/10.1007/978-3-319-10374-7_5
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