Complete Guide to Security and Privacy Metrics
Complete Guide to Security and Privacy Metrics
Security Metrics: Replacing Fear, Uncertainty, and Doubt
Security Metrics: Replacing Fear, Uncertainty, and Doubt
A Markov Game Theory-Based Risk Assessment Model for Network Information System
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 03
Network Security: A Decision and Game-Theoretic Approach
Network Security: A Decision and Game-Theoretic Approach
Risk-based adaptive security for smart IoT in eHealth
Proceedings of the 7th International Conference on Body Area Networks
Towards metrics-driven adaptive security management in e-health IoT applications
Proceedings of the 7th International Conference on Body Area Networks
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Emerging E-health applications utilizing IoT (Internet of Things) solutions should be sufficiently secure and robust. Adaptive security management techniques enable maintenance of sufficient security level during changing context, threats and usage scenarios. Systematic adaptive security management is based on security metrics. We analyze security objective decomposition strategies for an IoT E-health application. These strategies enable development of meaningful security metrics. Adaptive security solutions need security metrics to be able to adapt the relevant security parameters according to contextual and threat changes, which are typical for patient-centric IoT solutions used in various environments. In order to achieve this we have developed a context-aware Markov game theoretic model for security metrics risk impact assessment to measurably evaluate and validate the run-time adaptivity of IoT security solutions.