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Inventions 2018, 3(4), 71; https://doi.org/10.3390/inventions3040071

A Robust Information Life Cycle Management Framework for Securing and Governing Critical Infrastructure Systems

1
School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), 15780 Athens, Greece
2
Center for Security Studies (KEMEA), 10177 Athens, Greece
3
School of Rural and Surveying Engineering (SRSE), National Technical University of Athens (NTUA), 15780 Athens, Greece
4
Department of Shipping, Trade and Transport, University of the Aegean, 82100 Chios, Greece
5
School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, UK
6
Department of Computer Science and Engineering, European University of Cyprus, Nicosia 2404, Cyprus
7
Environmental Research Laboratory (EREL), National Center for Scientific Research Demokritos, 15310 Athens, Greece
8
Department of Computer Science, Universitat Politècnica de Catalunya—BarcelonaTech, 08034 Barcelona, Spain
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Received: 31 July 2018 / Revised: 30 August 2018 / Accepted: 12 October 2018 / Published: 17 October 2018
(This article belongs to the Special Issue Innovation in Machine Intelligence for Critical Infrastructures)

Abstract

In modern societies, the rampant growth of the Internet, both on the technological and social level, has created fertile ground for the emergence of new types of risk. On top of that, it enhances pre-existing threats by offering new means for accessing and exploiting Critical Infrastructures. As the kinds of potential threats evolve, the security, safety and resilience of these infrastructures must be updated accordingly, both at a prevention, as well as a real-time confrontation level. Our research approaches the security of these infrastructures with a focus on the data and utilization of every possible piece of information that derives from this ecosystem. Such a task is quite daunting, since the quantity of data that requires processing resides in the Big Dataspace. To address this, we introduce a new well-defined Information Life Cycle in order to properly model and optimise the way information flows through a modern security system. This life cycle covers all the possible stages, starting from the collection phase up until the exploitation of information intelligence. That ensures the efficiency of data processing and filtering while increasing both the veracity and validity of the final outcome. In addition, an agile Framework is introduced that is optimised to take full advantage of the Information Life Cycle. As a result, it exploits the generated knowledge taking the correct sequence of actions that will successfully address possible threats. This Framework leverages every possible data source that could provide vital information to Critical Infrastructures by performing analysis and data fusion being able to cope with data variety and variability. At the same time, it orchestrates the pre-existing processes and resources of these infrastructures. Through rigorous testing, it was found that response time against hazards was dramatically decreased. As a result, this Framework is an ideal candidate for strengthening and shielding the infrastructures’ resilience while improving management of the resources used. View Full-Text
Keywords: critical infrastructure; intelligent systems; resource optimization; critical infrastructure protection; infrastructure resilience; safety and security critical infrastructure; intelligent systems; resource optimization; critical infrastructure protection; infrastructure resilience; safety and security
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Moulos, V.; Chatzikyriakos, G.; Kassouras, V.; Doulamis, A.; Doulamis, N.; Leventakis, G.; Florakis, T.; Varvarigou, T.; Mitsokapas, E.; Kioumourtzis, G.; Klirodetis, P.; Psychas, A.; Marinakis, A.; Sfetsos, T.; Koniaris, A.; Liapis, D.; Gatzioura, A. A Robust Information Life Cycle Management Framework for Securing and Governing Critical Infrastructure Systems. Inventions 2018, 3, 71.

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