Project description
Innovative technologies for safety and privacy on the internet
As we spend more and more time online and exchange our professional and private data, our internet privacy is increasingly in peril by many unexpected threats. Presently offered ways of data protection are complicated for users, creating a burden to ensure proper applications. The EU-funded INCOGNITO project aims to design and develop a state-of-the-art solution by enabling users to access online services in a privacy-preserving manner. It will offer verification of their eligibility to access services through innovative cryptographic credential schemes, preserving users’ privacy by using only its specific identity attributes. INCOGNITO will be built on the ReCRED project’s advanced mobile software, combining state-of-the-art technologies and supporting user-friendly online services. The project will enable evaluation and two pilot activities.
Objective
The overarching goal of INCOGNITO is to combine state-of-the-art technologies in a platform that will allow users to easily understand what is needed to access online services with respect to their privacy and be able to prove specific attributes of their identity or their whole identity. We build on top of the framework that is being developed under the ReCRED project where we use advanced mobile software in order to convert online and physical identity proofs into validated and cryptographically strong proofs of identities that can be used for getting access to Online Services. INCOGNITO has the following objectives:
1.Design and implement an infrastructure that supports qualified anonymity (QA) by leveraging state of the art cryptographic credentials schemes as well as Federated Login solutions.
2.Design and implement an Identity Acquisition and Management platform that will allow the user to quickly and securely acquire identity attributes from Physical ID documents and Online Identities.
3.Design and implement an advanced UI/UX AI-based assistant that will guide and inform the user about aspects of his identity management as well as possible actions to take.
4.Evaluate the results of the project through two pilot activities.
To achieve these objectives an inter-sectorial and interdisciplinary secondment program for Experienced and Early Stage Researchers that fosters knowledge exchange is proposed. Academic partners will offer their expertise on online identity acquisition and management, machine-learning algorithms and user experience assessment. Industry partners will offer their expertise on state-of-the-art IT security technologies, production-grade development processes, exposure to industrial research environment and relevant business issues and data.
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Coordinator
185 33 PIRAEUS
Greece