Abstract
Nowadays, collaboration and social interaction among people become everyday activities in our evolving information age. In many learning platforms, collaborative platforms in the educational and industrial field or social networks like LinkedIn or Xing, users have to disclose private information and reveal their identities. Working with those systems allows them to create user profiles which ...
Abstract
Nowadays, collaboration and social interaction among people become everyday activities in our evolving information age. In many learning platforms, collaborative platforms in the educational and industrial field or social networks like LinkedIn or Xing, users have to disclose private information and reveal their identities. Working with those systems allows them to create user profiles which could reveal more information about the user, than he wants to give. Furthermore, such environments may construct profiles about users’ interaction, which may be used for attacks; thus preserving privacy is an essential component of such environments. In this paper, a decentralized group-centric approach for tailoring collaboration according privacy needs is introduced. The main idea of our approach lays in its construction. In contrast to traditional collaboration environments with central hosting, our approach gives each group the whole responsibility of hosting the collaboration environment by using their own technical means. The feasibility of our approach is demonstrated through a lightweight ubiquitous collaboration platform. The experiences gathered are discussed.
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