Large scale surveillance, detection and alerts information management system for critical infrastructure

This data was imported from Scopus:

Authors: Sabeur, Z., Zlatev, Z., Melas, P., Veres, G., Arbab-Zavar, B., Middleton, L. and Museux, N.

Journal: IFIP Advances in Information and Communication Technology

Volume: 507

Pages: 237-246

ISBN: 9783319899343

ISSN: 1868-4238

DOI: 10.1007/978-3-319-89935-0_20

© IFIP International Federation for Information Processing 2017 Published by Springer International Publishing AG 2017. All rights reserved. A proof-of-concept system for large scale surveillance, detection and alerts information management (SDAIM) is presented in this paper. Various aspects of building the SDAIM software system for large scale critical infrastructure monitoring and decision support are described. The work is currently developped in the large collaborative ZONeSEC project (www.zonesec.eu). ZONeSEC specializes in the monitoring of so-called Wide-zones. These are large critical infrastructure which require 24/7 monitoring for safety and security. It involves integrated in situ and remote sensing together with large scale stationary sensor networks, that are supported by cross-border communication. In ZONeSEC, the specific deployed sensors around the critical infrastructure may include: Accelerometers that are mounted on perimeter fences; Underground acoustic sensors; Optical, thermal and hyperspectral video cameras or radar systems mounted on strategic areas or on airborne UAVs for mission exploration. The SDAIM system design supports the ingestion of the various types of sensors platform wide-zones’ environmental observations and provide large scale distributed data fusion and reasoning with near-real-time messaging and alerts for critical decision-support. On a functional level, the system design is founded on the JDL/DFIG (Joint Directors of Laboratories/Data Fusion Information Group) data and information fusion model. Further, it is technologically underpinned by proven Big Data technologies for distributed data storage and processing as well as on-demand access to intelligent data analytics modules. The SDAIM system development will be piloted and alidated at various selected ZONeSEC project wide-zones [1]. These include water, oil and transnational gas pipelines and motorway conveyed in six European countries.

This data was imported from Web of Science (Lite):

Authors: Sabeur, Z., Zlatev, Z., Melas, P., Veres, G., Arbab-Zavar, B., Middleton, L. and Museux, N.

Journal: ENVIRONMENTAL SOFTWARE SYSTEMS: COMPUTER SCIENCE FOR ENVIRONMENTAL PROTECTION

Volume: 507

Pages: 237-246

eISSN: 1868-422X

ISBN: 978-3-319-89934-3

ISSN: 1868-4238

DOI: 10.1007/978-3-319-89935-0_20

The data on this page was last updated at 05:09 on February 20, 2020.