Design of a dynamic and self adapting system, supported with artificial intelligence, machine learning and real time intelligence for predictive cyber risk analytics in extreme environments, cyber risk in the colonisation of Mars

no code implementations • 19 May 2020 • Petar Radanliev, David De Roure, Kevin Page, Max Van Kleek, Omar Santos, La Treall Maddox, Pete Burnap, Eirini Anthi, Carsten Maple

This paper surveys deep learning algorithms, IoT cyber security and risk models, and established mathematical formulas to identify the best approach for developing a dynamic and self adapting system for predictive cyber risk analytics supported with Artificial Intelligence and Machine Learning and real time intelligence in edge computing.

Anomaly Detection BIG-bench Machine Learning +1