A Bayesian network methodology for optimal security management of critical infrastructures

Bayesian Network Methodology for Cyber Security

Visual Analytics for Network Security and Critical Infrastructures

A comprehensive analysis of cyber attacks is important for better understanding of their nature and their origin. Providing a sufficient insight into such a vast amount of diverse (and sometimes seemingly unrelated) data is a task that is suitable neither for humans nor for fully automated algorithms alone. Not only a combination of the two approaches but also a continuous reasoning process tha...

PolyOrBAC: A security framework for Critical Infrastructures

Due to physical and logical vulnerabilities, a critical infrastructure (CI) can encounter failures of various degrees of severity, and since there are many interdependencies between CIs, simple failures can have dramatic consequences on the users. In this paper, we mainly focus on malicious threats that might affect the information and communciation system that controls the Critical Infrastruct...

A Methodology for Designing Resilient and Smart Critical Infrastructures

Critical infrastructures are rapidly converging toward digital technologies in order to provide advanced information services, efficient management, and resource utilization. This has led to the proliferation of ubiquitous connectivity to critical infrastructures (electrical grid, utility networks, finance, etc.) that are connecting homes, businesses, and government resources. This will drive t...

A process-based dependency risk analysis methodology for critical infrastructures

This paper applies research in dependency modelling to a processbased risk assessment methodology suitable for critical infrastructures. The proposed methodology dynamically assesses the evolution of cascading failures over time between assets involved in a business process of an infrastructure. This approach can be applied by a CI operator/owner to explore how a failure in a single component (...