Security Informed Safety Assessment and Assurance of Complex Critical Systems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".
Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 4894
Special Issue Editors
Interests: critical and green computing; dependable and secure IoT and clouds; AI systems and services quality; UAV fleets for systems of information monitoring
Interests: methods and tools for information and cybersecurity systems analysis; reliability-survivability issues of information warfare systems; error detection and correction codes
Special Issue Information
Dear Colleagues,
Сritical (energy grids, transport, industry, business) systems operate in an open physical and informational environment and must be secure in order to be safe. Safety and security co-engineering is a complex domain requiring perfect development and verification processes, detailed risk analysis minimizing uncertainties, and the need for assurance and justification. Considering the influence of security on the safety of critical systems increases, the security informed safety (SIS) approach is one of the key methodologies to guarantee the required safety and its trustworthy assessment. SIS provides an entropy reduction in the safety evaluation process using specific methods. This Special Issue aims to present and discuss the models, methods, and techniques to implement SIS for different critical domains. The scope of this Special Issue includes, but is not limited to, the following topics:
- Methodology of security informed safety;
- Formal models and techniques of SIS analysis;
- Decreasing entropy and improving the trustworthiness of security and safety assessment;
- SIS methods for dependability assurance;
- Information diversity and multi-version technology for critical systems;
- Measurement and coding in the context of decreasing entropy for critical systems;
- Self-organization and resilience of complex systems against information intrusions;
- Assurance case techniques for decreasing uncertainties of security and safety assessment;
- SIS methods for cloud, IoT, and edge systems development and assessment;
- AI/ML for SIS analysis and information protection.
Prof. Dr. Vyacheslav Kharchenko
Prof. Dr. Nikolaos Bardis
Guest Editors
Manuscript Submission Information
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Keywords
- security informed safety
- formal methods
- decreasing entropy
- coding and encryption
- information redundancy and diversity
- information intrusions
- AI trustworthy and explainability
- trustworthy assessment
- cloud, IoT, edge computing
