BIG DATA &

SECURE SOCIETIES

Opportunities, Challenges and Requirements 27/02/2015

H2020 Secure Societies

Protecting freedom and security of Europe and its citizens o Undertaking the R&I activities needed to protect our citizens, society and economy as well as our

infrastructures and services, our prosperity, political stability and wellbeing.

Primary aims of the Secure Societies Challenge: o to enhance the resilience of our society against natural and man-made disasters, ranging from the

development of new crisis management tools to communication interoperability, and to develop

novel solutions for the protection of critical infrastructure;

o to fight crime and terrorism ranging from new forensic tools to protection against explosives;

o to improve border security, ranging from improved maritime border protection to supply

chain security and to support the Union's external security policies including through

conflict prevention and peace building;

o to provide enhanced cyber-security, ranging from secure information sharing to new assurance

models.

EU Satellite Centre

Agency of the EU Council

HQ in Torrejón de Ardoz (ES)

Primary User of EO Satellite Data

Foreseen role of Service Provider

To support the decision making and actions of the EU

in the field of the Common Foreign and Security Policy (CFSP)

by providing products and services resulting from

the exploitation of relevant space assets and collateral data

Big Data Opportunities

Existing datasets are very heterogeneous o EO Satellite Data (e.g. VHR Satellite Imagery)

o Aerial imagery (e.g. Unmanned Aerial Vehicles)

o Data from Intelligence Sources (GEOINT, HUMINT, OSINT…)

Rapidly increasing availability, precision and variety of data to be analysed and used (e.g. in support of EU decision-making) o Copernicus Sentinels, Commercial and Governmental EO Missions

o Long-term archives, in-situ data…

o Collateral sources (Media, Public data, Web-based communities, user-generated content, video sharing sites, wikis, blogs, publicly available sources…)

Big Data Challenges (1)

New capacities for the whole data lifecycle

o Integration of data, information and knowledge from different

sources

o Analysis of big amount of heterogeneous data

o Data Mining, Semantics, Ontologies…

o Visualization of results in an easy-understandable way

o Exploitation and preservation of historical data

o Data policies and methods for sensitivity issues (network and

information security, information sharing…)

Big Data Challenges (2)

ICT provisioning (cloud computing, scalability, parallel

processing)

Concepts evolution (VREs, collaborative platforms,

resource sharing, processing to the data…)

Added-value has to be demonstrated to Stakeholders and

Users

Protection of personal data and privacy preserving

Financial constraints

Big Data Requirements (1)

To deal with large and complex datasets maintaining or

improving the capacity 1) to extract in a timely manner, 2) to

use properly and 3) to visualize suitably relevant information

o To speed up data acquisition, access, exploring and

processing

o To integrate and analyse in a timely manner big amounts of

heterogeneous data

o To advance data visualization, dissemination and

exploitation

Big Data Requirements (2)

To guarantee the provision of Timely, Reliable, Relevant,

Accurate and Value-Added products and services

o Fusion of multi-sources and multi-temporal series of data

o Ensuring compatibility of long and large series of

continuous data for multi-layer coverage

o Development of new algorithms for trend/pattern analysis

o Development of automated services to identify

anomalies/changes over selected areas of interest and

raise alerts

UNCLASSIFIED / FOR OFFICIAL USE ONLY

European Union Satellite Centre © 2015

Sergio Albani RTDI Projects Coordinator

sergio.albani@satcen.europa.eu