Section: Partnerships and Cooperations

European Initiatives

Think tanks and european institutes

Olivier Festor is member of the Future Media Internet think tank at the European Commission, part of the european Future Internet Assembly. In 2011, the think tank did contribute to the FIA events and issue one white paper on the Future Media Internet Architecture  [37] .

Since november 1st 2011, Olivier Festor is the Director of Research of the European Institute of Innovation and Technology EIT ICT Labs.

Academics cooperations

MADYNES has an ongoing collaboration with the university of Luxembourg on network security. Two joint thesis are part of this collaboration : the thesis of Gerard Wagener on high interaction honeypot models and the thesis of Sheila Becker on game theory-based protocol fuzzing.

We are also members of the EUNICE consortium. EUNICE has been established to foster the mobility of students, faculty members and research scientists working in the field of information and communication technologies and to promote educational and research cooperations between its member institutions. The major event of EUNICE is an annual summer school which brings together lecturers, researchers, students and people from the industry across Europe for one week of presentations, discussions and networking. Isabelle Chrisment is member of EUNICE technical committee.

FP7 Projects

Univerself

• Title: Univerself

• Type: COOPERATION (ICT)

• Defi: The Network of the Future

• Instrument: Integrated Project (IP)

• Duration: September 2010 - August 2013

• Coordinator: Alcatel Lucent Bellabs (France)

• Others partners: Alcatel-Lucent Bell Labs (France), Alcatel Lucent Ireland Limited (Ireland), Alcatel-Lucent Deutschland AG (Germany), NEC Europe Ltd. (Germany), Thales Communications SA (France), France Telecom SA (France), Telecom Italia S.p.A (Italia), Telefonica Investigacion y Desarrollo (Spain), Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V (Germany), Interdisciplinary Institute for Broadband Technology (Belgium), Inria (France), VTT Technical Research Centre of Finland (Finland), University College London (UK), University of Surrey (UK), National and Kapodistrian University of Athens (Greece), University of Piraeus Research Centre (Greece), Universiteit Twente (The Netherlands)

• See also: http://www.univerself-project.eu/

• Abstract: This FP7 european integrated project aims at consolidating the autonomic methods and techniques supporting the management of the future Internet, and at integrating these methods into a unified management framework. The objective of this framework is to address the management issues of the evolving Internet through the self-organisation of the control plane and the empowerment of the management plane with cognition.

Our work in the Univerself project mainly concerns the security and safety challenges posed by the unified management framework, in particular the prevention of configuration vulnerabilities.

FI-WARE

• Title: Future Internet Core Platform

• Type: COOPERATION (ICT)

• Defi: PPP FI: Technology Foundation: Future Internet Core Platform

• Instrument: Integrated Project (IP)

• Duration: May 2011 - April 2014

• Coordinator: Telefonica (Spain)

• Others partners: Telefonica I+D (Spain), SAP AG (Germany), IBM, Thales (France), Telecom Italia (Italy), Orange Labs - France Telecom (France), Nokia Siemens Networks (Germany), Deutsche Telekom (Germany), Technicolor (France), Ericsson (Sweden), ATOS ORIGIN S.A.E (Space), Engineering Ingegneria Informatica S.p.A (Italy), Alcatel-Lucent Deutschland AG (Germany), Alcatel-Lucent Italia S.p.A (Italy), Siemens AG (Germany), Intel (Ireland), NEC Europe Ltd. (Germany), Fraunhofer Institute for Open Communication Systems FOKUS (Germany), Inria (France), Universidad Politecnica de Madrid (Spain), University of Duisburg-Essen (Germany), University of Rome - Sapienza (Italy), University of Surrey (UK),

• See also: http://www.fi-ware.eu/

• Abstract: The goal of the FI-WARE project is to advance the global competitiveness of the EU economy by introducing an innovative infrastructure for cost-effective creation and delivery of services, providing high QoS and security guarantees. FI-WARE is designed to meet the demands of key market stakeholders across many different sectors, e.g., healthcare, telecommunications, and environmental services. The project unites major European industrial actors in an unique effort never seen before.

  The key deliverables of FI-WARE will deliver an open architecture and implementation of a novel service infrastructure, building upon generic and reusable building blocks developed in earlier research projects. This infrastructure will support emerging Future Internet (FI)ervices in multiple Usage Areas, and will exhibit significant and quantifiable improvements in the productivity, reliability and cost of service development and delivery - building a true foundation for the Future Internet.

The MADYNES contributions to the FI-WARE project are :

• a fuzzing framework for the Internet of Things part dimension of the FI-WARE platform. More specifically we will instanciate the KIF framework to a SCADA case study;

• a smartphone level flow monitoring appliance;

• integration facility of OVAL specifications into the FI-WARE ecosystem.

SCAMSTOP

• Title: SCAMSTOP

• Type: CAPACITIES (Research for SMEs)

• Instrument: Research for the Benefit of SMEs (SME)

• Duration: January 2010 - December 2011

• Coordinator: Fraunhofer Institute for Open communication Systems FhG Fokus (Germany)

• Others partners: TEI of Mesolonghi (Greece), Inria (France), Telio (Norway), Voz Telecom (Spain), PDM & FC (Portugal)

• See also: http://www.sme-scamstop.eu/

• Abstract: SCAMSTOP will provide a complete framework/solution for automatic fraud detection that alarms providers when suspicious behaviour is detected. Thereby, SCAMTOP will make fraud detection not only simpler but much faster as well. The developed tools can be used by VoIP/ISP providers to protect their services against losses due to fraud and to identify previously uncollected revenue sources.

We do contribute to this project by the design and implementation of fraud detection mechanisms based on advanced clustering techniques.