Interoperable Trust Assurance Infrastructure

The main objective of the INTER-TRUST project is to develop a framework to support trustworthy applications in heterogeneous networks and devices based on the enforcement of interoperable and changing security policies.

This framework will allow developers, integrators and operators of systems to act during the development and operation phases to obtain systems with components that communicate and share data in a secure trusted manner dictated by negotiated security policies that we also refer to as dynamic security Service Level Agreements.

The result will incorporate trustworthiness by integrating legal, social and economic concerns, allowing applications and devices to negotiate and be constrained by them. It will offer scalable and economically viable security and privacy policy management and enforcement solution that will assure secure interoperability to applications and devices in heterogeneous environments (objective 1.4a of the work programme).

High level researchers and developers from academia and security software companies will bring the know-how and innovation to solve complex issues guaranteeing that the dynamic solution is applicable and does not introduce any vulnerability. Advanced enabling technologies will be integrated including: formal based monitoring and testing to detect malicious behaviour; negotiation, delegation, dynamic protection and prevention mechanisms based on Aspect Oriented weaving techniques; and, enhanced protection techniques to avoid introducing new vulnerabilities.

INTER-TRUST intends to validate the results using two different case studies with complex, highly demanding critical services. The two case studies, E-voting and Vehicle-to-Vehicle and Vehicle-to-Infrastructure Communications for Intelligent Transport Systems, involve key European players and will perfectly illustrate the importance and cross-domain applicability of the INTER-TRUST's results and offer unique opportunities for their wide-spread exploitation.

Project Details

Project funded by:


Project Duration:

11/12 - 04/15

Project Partners:

Softeco Sismat SRL (Coordinator, I), Montimage (F), Institut Mines-Telecom (F), Universitat Rovira i Virgili (E), Search-Lab (HU), Universidad de Malaga (E), The University of Reading (GB), Universidad de Murcia (E), Scytl Secure Electronic Voting SA (E), Indra Sistemas SA (E)

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Intelligent Tutoring Interface for Technology Enhanced Learning

INTUITEL will develop an adaptive system interoperable with commercial Learning Management Systems for tailored learning. As such, it will be a step towards a global learning cloud, where personalized technology-enhanced learning would be available for any person at any place, with any access device and under any external condition, including mobile learning scenarios. The objective of INTUITEL is to enhance state-of-the-art e-learning content and Learning Management Systems (LMS) with features that so far have been provided only by human tutors. An INTUITEL-enabled system constitutes an integrated learning environment that configures itself in response to any learner, monitors his/her progress and behaviour, combines these data with pedagogical and methodological knowledge and then by automated reasoning deduces optimal guidance and feedback.

Project Details

Project funded by: EU
Project Duration: 10/12 - 06/15
Project Partners: Hochschule Karlsruhe - Technik und Wirtschaft (Coordinator, D), Steinbeis Europazentrum (D), The University of Reading, (UK), Universität Wien (A), Universidad Internacional de la Rioja (E), Holon Institute of Technology (IL), Fraunhofer IOSB (D), TIE Nederland B.V.(NL), Forschungszentrum Informatik an der Universität Karlsruhe (D), Universidad de Valladolid (E), eXact learning solution S.p.A. (GR), IMC Information Multimedia Communication AG (D)
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Cognitive Control Framework for Robotic Systems

CORBYS focus is on robotic systems that have symbiotic relationship with humans. Such robotic systems have to cope with highly dynamic environments as humans are demanding, curious and often act unpredictably. CORBYS will design and implement a cognitive robot control architecture that allows the integration of high-level cognitive control modules, a semantically-driven self-awareness module and a cognitive framework for anticipation of, and synergy with, human behaviour based on biologically-inspired information-theoretic principles.

These modules, supported with an advanced multi-sensor system to facilitate dynamic environment perception, will endow the robotic systems with high-level cognitive capabilities such as situation-awareness, and attention control. This will enable the adaptation of robot behaviour, to the users variable requirements, to be directed by cognitively adapted control parameters. CORBYS will provide a flexible and extensible architecture to benefit a wide range of applications; ranging from robotised vehicles and autonomous systems such as robots performing object manipulation tasks in an unstructured environment to systems where robots work in synergy with humans. The latter class of systems will be a special focus of CORBYS innovation as there exist important classes of critical applications where support for humans and robots sharing their cognitive capabilities is a particularly crucial requirement to be met. CORBYS control architecture will be validated within two challenging demonstrators:

  1. a novel mobile robot-assisted gait rehabilitation system CORBYS
  2. an existing autonomous robotic system.

The CORBYS demonstrator to be developed during the project, will be a self-aware system capable of learning and reasoning that enables it to optimally match the requirements of the user at different stages of rehabilitation in a wide range of gait disorders.

Project Details

Project funded by: EU
Project Duration: 02/11 - 01/15
Project Partners: University of Bremen (D) The University of Reading, University Rehabilitation Institute (SLO), The University of Hertfordshire (GB), Vrije University Brussels (BE), Sintef (NO), Otto Bock Mobility Solutions (D),  Neurological Rehabilitation Center Friedehorst (D), Bit&Brain Technologies SL (E), SCHUNK (D), Otto Bock Healthcare (D)
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Virtual Centre of Excellence for Ethically-guided and Privacy-respecting Video Analytics in Security

VideoSense will integrate leading European research groups to create a long-term open integration of critical mass in the twin areas of Ethically-Guided, and, Privacy Preserving Video Analytics where the advent of new data intelligence technologies against the background of dynamic societal and citizen’s goals, norms, expectations, safety and security needs have all contributed to a complex interplay of influences which deserve in-depth study and solution seeking in order for the European society, citizen and industry to strike the optimal balance in resolution of the various challenges in this arena.

Accordingly VideoSense provides for:

  1. Fostering increased sustainable relationships between existing national research groups;
  2. Momentum building by integrating existing researchers and resources to push forward new paradigms and the knowledge basis for the resolution of ethically guided, sense-ful, selective, useful, cost–effective solutions to society’s security needs;
  3. Establishing a Virtual Centre of Excellence and expandable framework, based on Pan-European integration of complementary expertise and optimisation of shared, flexible modular and inter-connected resources including knowhow, laboratories and people to support collaborative research and agenda setting;
  4. Two external Boards of Industrial and Scientific Advisors to keep the targeted research focused and responsive to the needs of the European citizen, society and industry;
  5. Establishing a standard framework for Ethical Compliance Audit Management based on a suitably evolved Compliance Audit Maturity Model (CAMM) and associated Training and Certification services as both a service to organisations and revenue streams to ensure longer-term sustainability of the Video-Analytics Centre of Excellence.

The VideoSense Virtual Centre of Excellence will play a significant role in this by bringing together a critical mass of leading experts and resources that will foster significant advances in the domain of ethically-aware data and video analytics with a synergic and integrated approach. VideoSense efforts will fill capability gaps and provide clear added-value to security needs both from the technical perspective as well as from the ethical and regulatory one; in VideoSense the respect of privacy and civil liberties will be both a guiding principle as well as part of the delivered results.

Project Details

Project funded by: EU
Project Duration: 05/11 - 04/15
Project Partners: The University of Reading (GB), Queen Mary and Westfield College, University of London (GB), EURECOM (F), Thales Security Solutions & Services SAS (F), Ingeniera de Sistemas para la Defensa de Espana SA (E), Technical University Berlin (D), Ecole Polytechnique Federale de Lausanne (CH), International Forum for Biophilosophy (BE)
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