PriMan : A Privacy-Preserving Identity Framework
نویسندگان
چکیده
PriMan is presented; privacy-preserving user-centric identity management middleware which defines and groups the required functionality. It offers the application developer a uniform technology-agnostic interface to use and combine different types of privacy enhancing technologies. Moreover, the PriMan framework defines all the components and their functionality required to raise the development of privacy enhanced client-server applications to a higher level.
منابع مشابه
A centralized privacy-preserving framework for online social networks
There are some critical privacy concerns in the current online social networks (OSNs). Users' information is disclosed to different entities that they were not supposed to access. Furthermore, the notion of friendship is inadequate in OSNs since the degree of social relationships between users dynamically changes over the time. Additionally, users may define similar privacy settings for their f...
متن کاملA Practical View of Privacy Preserving Biometric Authentication
Recently, biometric market is growing rapidly and biometric applications can be found in diverse areas such as border control, banking, ID-documents, access control, etc. However, usage of personal biometric information can harm privacy of users and raise problems of cross matching and identity theft. Privacy preserving techniques like template protection are an important supplement to biometri...
متن کاملA Framework for Private Location-based Queries using Cryptographic Protocols
An important privacy issue in Location Based Services (LBS) is to hide a user’s identity and location while still providing quality service. A user’s identity can be easily hidden through anonymous web browsing services, however, a user’s location can reveal a user’s identity. For example, if a user at home asks queries such as “Find the nearest hospital around me” to a LBS server, then based o...
متن کاملAn Effective Method for Utility Preserving Social Network Graph Anonymization Based on Mathematical Modeling
In recent years, privacy concerns about social network graph data publishing has increased due to the widespread use of such data for research purposes. This paper addresses the problem of identity disclosure risk of a node assuming that the adversary identifies one of its immediate neighbors in the published data. The related anonymity level of a graph is formulated and a mathematical model is...
متن کاملCryptographic Techniques for Privacy Preserving Identity
Cryptographic Techniques for Privacy Preserving Identity
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010