It describes how the multi-agent architecture originaly proposed in ZONeSEC project can be applied also to cyber-security components in order to address challenges such as cost, complexity or difficulty to coordinate activities in distributed settings, such as cross-border surveillance operations

 IEEE Access, vol. PP, no. 99, pp. 1-1. doi: 10.1109/ACCESS.2018.2804623

It was published at 2018 IEEE 16th International Conference on Industrial Informatics (INDIN)

EO4wildlife was presented during the Digital Poster session at the ESA Earth Observation Φ-week hosted in ESA-ESRIN (Frascati) from 12 to 16 November 2018.

IEEE Access, vol. PP, no. 99, pp. 1-1. DOI: 10.1109/ACCESS.2018.2804623

ZONESEC: built-in cyber-security for wide area surveillance system. Aljosa Pasic, Jose-Ramon Martinez-Salio, Susana Gonzalez Zarzosa, Rodrigo Diaz. Reggio Calabria, Italy, August 29 – September 1, 2017 (ARES 2017)

River Publishers ISBN 978-87-93609-10-5 Chapter 8: IoT European Large-Scale Pilots - Integration, Experimentation and Testing

IV Smart Grids Congress, Noviembre 2017 Page 155

IETF 96 - Berlin July

Filtering, Smart cities, Tools, Monitoring, Intelligent sensors

Future Generation Computer Systems, 2017 Volume 78, Part 2

University of Southampton IT Innovation Centre prepared paper named “Large Scale Surveillance, Detection and Alerts Information Management System for Critical Infrastructure”.

Technical university of Dresden published three papers: “A Fully Balanced Ultra-Wide Band Mixer MMIC with Multi-Tanh Triplet Input for High Dynamic Range Radar Receiver Systems” was accepted for ICNF conference in Vilnius, from June 20-23 (http://www.icnf2017.ff.vu.lt/) and another paper, named “

Paper named “ZONESEC: built-in cyber-security for wide area surveillance system” has been accepted for publication in S-CI 2017 Workshop, which will take place in conjunction with ARES 2017 to be held 29 august-1 September in Reggio Calabria, Italy.

Software Product Lines (SPLs) capture commonalities and variability of product families, typically represented by means of feature models.

AFP2017 - ENISA Annual Privacy Forum 2017, 7 – 8 June 2017, Vienna