Objective
With increasing mobility and Internet usage, the demand for digital services increases and has reached critical and high assurance domains like e-Government, e-Health and e-Business. Those domains have high security and privacy requirements and hence will be harnessed with various novel mechanisms for secure access. Approaches for handling the resulting variety of authentication and authorisation mechanisms include the use of digital identity and access management systems (IAM). Like other technologies IAMs follow the trend of using cloud services. This allows abstracting over used resources and enables ubiquitous access to identity data which is stored and processed in the cloud, but also results in an additional degree of complexity for securely operating IAMs.
The goal of CREDENTIAL is to develop, test and showcase innovative cloud based services for storing, managing, and sharing digital identity information and other critical personal data. The security of these services relies on the combination of strong hardware-based multi-factor authentication with end-to-end encryption representing a significant advantage over current password-based authentication schemes. The use of sophisticated proxy cryptography schemes will enable a secure and privacy preserving information sharing network for cloud-based identity information in which even the identity provider cannot access the data in plain-text and hence protect access to identity data. We focus not only on evaluating and applying novel crypto-approaches for IAMs but also on implementing them in an easy-to-use way to motivate secure handling of identity data.
In order to also address security, privacy and trust issues related to the used cloud platforms and services we will investigate assurance and resilience approaches for enhancing underlying cloud services. To empirically evaluate our work and to produce outputs of a high technical readiness we will consider use cases from all three domains mentioned above.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- medical and health scienceshealth scienceshealth care serviceseHealth
- natural sciencescomputer and information sciencescomputer securityaccess control
- natural sciencescomputer and information sciencescomputer securitydata protection
- natural sciencescomputer and information sciencescomputer securitycryptography
- social sciencespolitical sciencesgovernment systemse-governance
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Programme(s)
Topic(s)
Call for proposal
(opens in new window) H2020-DS-2014-2015
See other projects for this callSub call
H2020-DS-2014-1
Funding Scheme
IA - Innovation actionCoordinator
1210 Wien
Austria