Objective
With the development of new location-based services and the expected deployment of cyber-physical systems (e.g. autonomous cars and drones) the reliance on location and time information in critical applications will only increase. Today's positioning systems are vulnerable to location spoofing by which devices can cheat on their own positions or can manipulate the measured positions of other devices. This problem cannot be fixed by a simple upgrade - existing positioning systems rely on legacy distance measurement techniques and protocols that were designed without security considerations or with security as an after-thought. We therefore need a new approach to the design of positioning systems that takes security requirements into account from the very start, and also accounts for the way that positioning systems are built and used. This is a cross-layer endeavor. In this project we will address the following fundamental questions: (1) Physical Layer. How can we design the right distance measurement (i.e. distance bounding) techniques that provide resilience to physical-layer and logical-layer attacks but retain the performance (range, accuracy and speed of execution) of equivalent non-secure systems? We will extend the existing knowledge in terms of the attacker models as well as achievable limits of security and performance of distance measurement techniques under realistic attacker models. (2) Link Layer. What are the right Medium Access Control (MAC) protocols for secure positioning, what are their performance and scalability limits? (3) Systems. How can distance bounding be integrated in mobile platforms, especially with trusted execution environments. How can this integration strengthen the security of distance bounding and support its use in a wide range of applications?
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology mechanical engineering vehicle engineering automotive engineering autonomous vehicles
- natural sciences computer and information sciences computer security access control
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics autonomous robots drones
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-COG - Consolidator Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2016-COG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
8092 Zuerich
Switzerland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.