Intelligent Data-Centric Critical Systems: Security and Resilience Key Challenges

Intelligent data-centric critical systems are considered large-scale, spatially distributed, complex systems, composed by a huge number of heterogeneous physical hardware and software components. Such systems are not isolated, but interconnected through complex network infrastructures and interdependent at multiple levels. In modern society the continuous operation of these critical systems is pivotal for providing essential public utilities and services across national and international boundaries. Malicious attacks and deliberate system failures may produce significant effects perceivable on a regional or national scale. This poses new implications and challenges to systems security engineering. Therefore this book explores current advances in the field and disseminates recent research efforts in the security and resilience of intelligent data-centric critical systems. Its goal is to support innovations in this area and feature the latest advances and directions in this amazing scenario by exploring the potential of new architectures, applications and services, as well as understanding their weaknesses and the most common threats against them. It presents approaches, techniques, and tools to detect and prevent malicious behaviors and attacks against such complex systems and communication networks.