Open Access Presentation
14 May 2018 Cyber autonomy (Conference Presentation)
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Abstract
The impact of a truly autonomous cyber capability could be profound. The research that will be presented intends to explore the benefits and drawbacks of autonomous cyber capabilities. It presents a method and emphasizes the importance of testing the robustness of the machine learning algorithms which form the basis for autonomous decision making. Robust assessment will help mitigate risks associated with nefarious actors compromising the learning systems. Considerations are also presented concerning the right level of human interaction and the importance of the human machine team. Finally, a brief discussion on how the latest uses of blockchain technologies could be used to improve the security and bound the behavior of cyber autonomous systems are discussed.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Misty Blowers "Cyber autonomy (Conference Presentation)", Proc. SPIE 10652, Disruptive Technologies in Information Sciences, 106520Y (14 May 2018); https://doi.org/10.1117/12.2305393
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KEYWORDS
Machine learning

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