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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

机译：动态和自适应系统的设计，支持极端环境中预测网络风险分析的人工智能，机器学习和实时智能 - 火星殖民殖民的网络风险

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Petar Radanliev; David De Roure; Kevin Page; Max Van Kleek; Omar Santos; La’Treall Maddox; Pete Burnap; Eirini Anthi; Carsten Maple;
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1. Artificial intelligence and machine learning in dynamic cyber risk analytics at the edge [J] . Petar Radanliev, David De Roure, Rob Walton, SN Applied Sciences . 2020,第11期

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2. Cyber risk at the edge: current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains [J] . Radanliev Petar, De Roure David, Page Kevin, Cybersecurity . 2020,第a期

机译：网络风险在边缘：工业物联网中网络风险分析和人工智能的当前和未来趋势和工业4.0供应链
3. Cyber risk at the edge: current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains [J] . Petar Radanliev, David De Roure, Kevin Page, 网络空间安全科学与技术（英文版） . 2020,第002期

机译：边缘网络风险：工业物联网和工业4.0供应链中网络风险分析和人工智能的当前和未来趋势
4. Risks and Advantages in Using Artificial Intelligence on Cyber Defence and Cyber Attack [C] . Eric DESTRé NATO Advanced Research Workshop on Cyber Defense in Industry 4.0 Systems and Related Logistics and IT Infrastructures . 2018

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5. Let’s Tell Them We Have Artificial Intelligence and They May Comply: A Learning Investigation of Employee Cybersecurity Compliance Heroes =Digámosles que tenemos inteligencia artificial y que pueden cumplir: una investigación de aprendizaje de los héroes [D] . Hicks, Frederick L. 2021

机译：让我们告诉他们我们有人工智能，他们可能遵守：对员工网络安全合规英雄的学习调查=让我们说我们有人工智能，他们可以遵守：对英雄的学习研究
6. Artificial intelligence MacHIne learning for the detection and treatment of atrial fibrillation guidelines in the emergency department setting (AIM HIGHER): Assessing a machine learning clinical decision support tool to detect and treat non‐valvular atrial fibrillation in the emergency department [O] . Kim Schwab, Dacloc Nguyen, GilAnthony Ungab, 2021

机译：人工智能机器学习急诊部门环境中的心房颤动指南的检测和治疗（旨在更高）：评估机器学习临床决策支持工具以检测和治疗急诊部的非瓣膜心房颤动
7. Artificial intelligence and machine learning in dynamic cyber risk analytics at the edge [O] . Petar Radanliev, David De Roure, Rob Walton, 2020

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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

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