ARIES: Evaluation of a reliable and privacy-preserving European identity management framework

2020 ◽  
Vol 102 ◽  
pp. 409-425 ◽  
Author(s):  
Jorge Bernal Bernabe ◽  
Martin David ◽  
Rafael Torres Moreno ◽  
Javier Presa Cordero ◽  
Sébastien Bahloul ◽  
...  
Author(s):  
Efat Samir ◽  
Hongyi Wu ◽  
Mohamed Azab ◽  
Chun Sheng Xin ◽  
Qiao Zhang

2016 ◽  
pp. 399-422
Author(s):  
Hirra Anwar ◽  
Muhammad Awais Shibli ◽  
Umme Habiba

Numerous Cloud Identity Management (IdM) systems have been designed and implemented to meet the diverse functional and security requirements of various organizations. These requirements are subjective in nature; for instance, some government organizations require security more than efficiency while others prioritize performance and immediate response over security. However, most of the existing IdM systems are incapable of handling the user-centricity, security & technology requirements and are also domain specific. In this regard, this chapter elaborates the need to use Cloud Computing technology for enhancing the effectiveness and transparency of IdM functions and presents a comprehensive and well-structured Extensible IdM Framework for Cloud based e-government institutions. We present the design and implementation details of the proposed framework, followed by a case study which shows how government organizations of Pakistan would use the proposed framework to improve their IdM processes and achieve diverse IdM services.


Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 945 ◽  
Author(s):  
Rafael Torres Moreno ◽  
Jorge Bernal Bernabe ◽  
Jesús García Rodríguez ◽  
Tore Kasper Frederiksen ◽  
Michael Stausholm ◽  
...  

Privacy enhancing technologies (PETs) allow to achieve user’s transactions unlinkability across different online Service Providers. However, current PETs fail to guarantee unlinkability against the Identity Provider (IdP), which becomes a single point of failure in terms of privacy and security, and therefore, might impersonate its users. To address this issue, OLYMPUS EU project establishes an interoperable framework of technologies for a distributed privacy-preserving identity management based on cryptographic techniques that can be applied both to online and offline scenarios. Namely, distributed cryptographic techniques based on threshold cryptography are used to split up the role of the Identity Provider (IdP) into several authorities so that a single entity is not able to impersonate or track its users. The architecture leverages PET technologies, such as distributed threshold-based signatures and privacy attribute-based credentials (p-ABC), so that the signed tokens and the ABC credentials are managed in a distributed way by several IdPs. This paper describes the Olympus architecture, including its associated requirements, the main building blocks and processes, as well as the associated use cases. In addition, the paper shows how the Olympus oblivious architecture can be used to achieve privacy-preserving M2M offline transactions between IoT devices.


Author(s):  
Jorge Bernal Bernabe ◽  
Antonio Skarmeta ◽  
Nicolás Notario ◽  
Julien Bringer ◽  
Martin David

Author(s):  
Rafael Torres Moreno ◽  
Jesus Garcia Rodriguez ◽  
Cristina Timon Lopez ◽  
Jorge Bernal Bernabe ◽  
Antonio Skarmeta

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