Intelligent data-centric critical systems play a key role into several fundamental human activities. The consequences of an outage can be catastrophic in terms of efficiency, economical losses, and consumer dissatisfaction. In recent years, intelligent systems, complex and distributed have increasingly been used in scenarios, often critical, such as airports, seaports, plants for the provision of water and energy, and business transactional systems. Such systems have been used for interconnection, control, and management. They are in charge of providing support for advanced monitoring and control facilities. These systems from the point of view of security and resilience are of increasing importance in both industrial and corporate. They have to be highly resilient in order to reduce the risk of severe failures. The criticality of such system poses new challenges for computer engineer, which must develop systems to ensure a high level of protection, and at the same time, they must keep low costs and development time. The security and resilience of intelligent data-centric critical systems is hard to achieve for complexity of the system. First, they are designed as the composition of several Off-The-Shelf (OTS) items and/or legacy subsystems, primarily for their ability to reduce development costs. On the other hand, such components potentially introduce new vulnerabilities in the system. Second, their size has significantly grown, and their operational environment, originally planned to be "closed", becomes more and more "open" to allow interoperability and remote and mobile accesses and control. This implies malicious behaviors should be taken into account. On the other hand, such systems use and manage a huge amount of heterogeneous, complex and critical data (sensor data, IoT data, mobile data, monitoring data, forensics data), which can be target of potential threats. Therefore, the book will present current advances in the field, following both theoretical and practical results. Intelligent data-centric critical system development requires appropriate techniques, architectures and tools, having in view the advance of science in this area and the development of secure and resilient solutions. The book aims at disseminating of research efforts in the security and resilience of intelligent data-centric critical systems, in order to support advance research in this area. The Edited Book aims to present security and resilience aspects of current intelligent data-centric critical systems and communication networks, including techniques and tools to prevent and avoid accidental and malicious behaviors. The overall objectives of the book are explain state-of-the-art technological solutions for main issues hindering the development of monitoring and reaction solutions, supporting security and resilience of intelligent data-centric critical systems. In particular, strategies and technique to analysis and processing complex and sensitive data needed to malicious behaviors and attacks against such systems and communication networks are presented. The book aims at making readers familiar with those concepts and technologies that are successfully used in the implementation of more resilient and secure intelligent data-centric critical systems.
Security and Resilience in Intelligent Data-Centric Systems and Communication Networks, 1st Edition,
Massimo Ficco
2017-01-01
Abstract
Intelligent data-centric critical systems play a key role into several fundamental human activities. The consequences of an outage can be catastrophic in terms of efficiency, economical losses, and consumer dissatisfaction. In recent years, intelligent systems, complex and distributed have increasingly been used in scenarios, often critical, such as airports, seaports, plants for the provision of water and energy, and business transactional systems. Such systems have been used for interconnection, control, and management. They are in charge of providing support for advanced monitoring and control facilities. These systems from the point of view of security and resilience are of increasing importance in both industrial and corporate. They have to be highly resilient in order to reduce the risk of severe failures. The criticality of such system poses new challenges for computer engineer, which must develop systems to ensure a high level of protection, and at the same time, they must keep low costs and development time. The security and resilience of intelligent data-centric critical systems is hard to achieve for complexity of the system. First, they are designed as the composition of several Off-The-Shelf (OTS) items and/or legacy subsystems, primarily for their ability to reduce development costs. On the other hand, such components potentially introduce new vulnerabilities in the system. Second, their size has significantly grown, and their operational environment, originally planned to be "closed", becomes more and more "open" to allow interoperability and remote and mobile accesses and control. This implies malicious behaviors should be taken into account. On the other hand, such systems use and manage a huge amount of heterogeneous, complex and critical data (sensor data, IoT data, mobile data, monitoring data, forensics data), which can be target of potential threats. Therefore, the book will present current advances in the field, following both theoretical and practical results. Intelligent data-centric critical system development requires appropriate techniques, architectures and tools, having in view the advance of science in this area and the development of secure and resilient solutions. The book aims at disseminating of research efforts in the security and resilience of intelligent data-centric critical systems, in order to support advance research in this area. The Edited Book aims to present security and resilience aspects of current intelligent data-centric critical systems and communication networks, including techniques and tools to prevent and avoid accidental and malicious behaviors. The overall objectives of the book are explain state-of-the-art technological solutions for main issues hindering the development of monitoring and reaction solutions, supporting security and resilience of intelligent data-centric critical systems. In particular, strategies and technique to analysis and processing complex and sensitive data needed to malicious behaviors and attacks against such systems and communication networks are presented. The book aims at making readers familiar with those concepts and technologies that are successfully used in the implementation of more resilient and secure intelligent data-centric critical systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
