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Critical Information Infrastructures Security - 9th International Conference, CRITIS 2014, Limassol, Cyprus, October 13-15, 2014, Revised Selected Papers (Paperback, 1st ed. 2016)
Christos G. Panayiotou, Georgios Ellinas, Elias Kyriakides, Marios M. Polycarpou
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This book constitutes revised selected papers from the 9th
International Conference on Critical Information Infrastructures
Security, CRITIS 2014, held in Limassol, Cyprus, in October 2014.
The 20 full and 19 short papers presented in this volume were
carefully reviewed and selected from 74 submissions. They are
organized in topical sections named: cyber-physical systems and
sensor networks; security of water systems; power and energy system
security; security and recovery policies, cyber security; and
security tools and protocols.
Recent advances in information and communication technologies,
embedded systems and sensor networks have generated significant
research activity in the development of so-called cyber-physical
systems. An example of a large network of cyber-physical systems is
a smart city with intelligent infrastructures for supporting the
environment, energy and water distribution, transportation,
telecommunication, health care, home automation, and so on. From a
systems point of view, safety, reliability and fault tolerance
become key challenges in designing cyber-physical systems. One of
the major issues is detecting and correcting faults in the sensors
that form a critical part of these networks and systems. For
example, if two sensors should provide similar information, how do
you know which one is at fault should their readings suddenly
greatly differ? Sensor Fault Diagnosis addresses all the issues in
sensor fault detection and isolation. It provides a clear tutorial
on the challenges and models that can be used to address them. It
describes, in detail, the requirements for modeling the systems,
designing the architecture, detecting faults, isolating those
faults, and presents learning techniques for enhancing performance.
This monograph will appeal to all researchers and students working
on large sensor networks and systems.
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