Towards Scalable and Dependable Privacy-Preserving Publish/Subscribe Services

Emanuel Onica (1) , Pascal Felber (2) , Hugues Mercier (2) , Etienne Rivière (2)

1 UAIC - Alexandru Ioan Cuza University of Iași = Universitatea Alexandru Ioan Cuza din Iași
2 UNINE - Université de Neuchâtel = University of Neuchatel

Security guarantees are required features for cloud services. Among these, the preservation of user data privacy is critical. However, the necessity to perform computation over user data by the service providers makes this guarantee hard to provide. This necessity often becomes a requirement for services that depend on the nature of the data, such as publish/subscribe (pub/sub) routing solutions. Most of proposed solutions for privacy-preserving pub/sub fail to satisfactorily address scala-bility and dependability along privacy issues. In this paper, we define a set of requirements that should be met by a scalable and dependable privacy-preserving pub/sub solution.

Domaines: Calcul parallèle, distribué et partagé [cs.DC]

Emanuel Onica, Pascal Felber, Hugues Mercier, Etienne Rivière. Towards Scalable and Dependable Privacy-Preserving Publish/Subscribe Services. Fast Abstract in the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, Jun 2016, Toulouse, France. ⟨hal-01316507⟩