Datenschutzerklärung|Data Privacy

A. Borusan

11.01.2016, 16 Uhr c.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "Privacy-Preserving Querying Protocols using Tamper Resistant Hardware" (Quoc-Cuong To, INRIA, France)

Current applications, from complex sensor systems to online e-markets acquire vast quantities of personal information, which usually end-up on central servers. However, centralizing and processing all one’s data in a single server, where they are exposed to prying eyes, poses a major problem with regards to privacy concern. Conversely, decentralized architectures helping individuals keep full control of their data, complexify global treatments and queries, impeding the development of innovative services for applications and business. We aim at reconciling individual's privacy on one side and global benefits for the business perspectives on the other side. Recent advances in low-cost secure hardware promote the idea of pushing the security to secure hardware devices controlling the data at the place of their acquisition. Thanks to these tangible physical elements of trust, secure distributed querying protocols can reestablish the capacity to perform global computations without revealing any sensitive information to central servers. We also show that our protocol can be applied to the MapReduce to support the security aspect of this framework in processing the big personal data in the Cloud.