Titlebook: Cybersecurity Systems for Human Cognition Augmentation; Robinson E. Pino,Alexander Kott,Michael Shevenell Book 2014 Springer International

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Automated Cyber Situation Awareness Tools and Models for Improving Analyst Performance, range of potentially devastating cyber-attacks. Attackers can exploit network configurations and vulnerabilities to incrementally penetrate a network and compromise critical systems, thus rendering security monitoring and intrusion detection much more challenging. It is also evident from the ever g

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Data Mining in Cyber Operations,twork daily. The cyber infrastructure is a made up of the data resources, network protocols, computing platforms, and computational services that bring people, information, and computational tools together. Data mining techniques are necessary as a need emerges to be able to automatically analyze, c

Dorsal

Trusted Computation Through Biologically Inspired Processes,ure 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. Furthe

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Dynamic Logic Machine Learning for Cybersecurity,pically damage or disable, take control of, or steal information from a computer system. Malware broadly includes botnets, viruses, worms, Trojan horses, logic bombs, rootkits, boot kits, backdoors, spyware, adware, and other types of threats. The ever increasing danger of the future threat is its a

insurgent

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Sustainability Problems and a Novelty in the Concept of Energy,sally. As physical processes unfold energy goes from one form to another, and the total sum of different energy values in commeasurable units remains constant (see [1]). This constitutes the law of conservation of energy—an important operational principle affirming that energy can neither come out o

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Low Power Neuromorphic Architectures to Enable Pervasive Deployment of Intrusion Detection Systems,S algorithms on all devices (including mobile devices) within a network can help bolster security. However, the cost of running IDS algorithms on all networked devices can be high in terms of power and physical resources (especially battery operated ones). Several recent studies have proposed mappin