Responsible Resilience in Cyber–Physical–Social Systems: A New Paradigm for Emergent Cyber Risk Modeling
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- Saeed, Umer & Jan, Sana Ullah & Lee, Young-Doo & Koo, Insoo, 2021. "Fault diagnosis based on extremely randomized trees in wireless sensor networks," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
- Shin, Jinsoo & Son, Hanseong & Khalil ur, Rahman & Heo, Gyunyoung, 2015. "Development of a cyber security risk model using Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 208-217.
- Basim Mahbooba & Mohan Timilsina & Radhya Sahal & Martin Serrano & Ahmed Mostafa Khalil, 2021. "Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model," Complexity, Hindawi, vol. 2021, pages 1-11, January.
- Carolina Pereira & Anabela Marto & Roberto Ribeiro & Alexandrino Gonçalves & Nuno Rodrigues & Carlos Rabadão & Rogério Luís de Carvalho Costa & Leonel Santos, 2025. "Security and Privacy in Physical–Digital Environments: Trends and Opportunities," Future Internet, MDPI, vol. 17(2), pages 1-23, February.
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