An Efficient Highly-Secure AI-Based System for Incident Management in Critical Infrastructures

The seamless operation of a critical infrastructure is achieved through a set of standard operational procedures. Leveraging new technologies to support threat management processes dramatically reduces the risk of an infrastructure outage. Moreover, private security services assess all risks to which guards are exposed and take measures to prevent dangerous situations to protect them. To handle such a problem, we present an integrated incident management system consisting of several container modules. Our loosely coupled architecture is supported by a message management framework, the main goal of which is to support the operational procedures. The proposed system, based on augmented reality and artificial intelligence, can process multiple video streams provided by closed-circuit televisions to detect possible threats related to the infrastructure. Next, it delivers the necessary information for managing an incident directly to the field and control center. The whole pipeline was employed in Preveza Marina, Greece, while tested and evaluated in real-case scenarios. Integrating such a system resulted in restructuring the standard operational procedures, permitting new security personnel management processes to safeguard health and safety during their work.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/ist63414.2024.10759174
Primary Topic
Smart Grid Security and Resilience
Type
article
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article

An Efficient Highly-Secure AI-Based System for Incident Management in Critical Infrastructures

Vassilis Papataxiarhis, Panagiotis E. Nastou, Konstantinos A. Tsintotas, Demosthenes Vouyioukas et al.
Smart Grid Security and Resilience
article

An Efficient Highly-Secure AI-Based System for Incident Management in Critical Infrastructures

Vassilis Papataxiarhis, Panagiotis E. Nastou, Konstantinos A. Tsintotas, Demosthenes Vouyioukas, Charis Mesaritakis, Αντώνιος Γαστεράτος, Georgios Petroudis, Stavros N. Moutsis, Panagiotis Gavathas, Nikos Papastamatiou
article en

Abstract

The seamless operation of a critical infrastructure is achieved through a set of standard operational procedures. Leveraging new technologies to support threat management processes dramatically reduces the risk of an infrastructure outage. Moreover, private security services assess all risks to which guards are exposed and take measures to prevent dangerous situations to protect them. To handle such a problem, we present an integrated incident management system consisting of several container modules. Our loosely coupled architecture is supported by a message management framework, the main goal of which is to support the operational procedures. The proposed system, based on augmented reality and artificial intelligence, can process multiple video streams provided by closed-circuit televisions to detect possible threats related to the infrastructure. Next, it delivers the necessary information for managing an incident directly to the field and control center. The whole pipeline was employed in Preveza Marina, Greece, while tested and evaluated in real-case scenarios. Integrating such a system resulted in restructuring the standard operational procedures, permitting new security personnel management processes to safeguard health and safety during their work.

Democritus University of Thrace (GR), University of Piraeus (GR), Center for Security Studies (GR), University of the Aegean (GR)
Industry, innovation and infrastructure
Openalex Percentile: Top 69%
Smart Grid Security and Resilience
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An Efficient Highly-Secure AI-Based System for Incident Management in Critical Infrastructures — Vassilis Papataxiarhis, Panagiotis E. Nastou, et al. · (2024) | TGRS Research Map | TGRS