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Insynd: Improved Privacy-Preserving Transparency Logging
Katholieke Universiteit Leuven, Leuven, Belgium. (ESAT/COSIC & iMinds)
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (PriSec)ORCID-id: 0000-0001-6459-8409
2016 (Engelska)Ingår i: Computer Security - ESORICS 2016: 21st European Symposium on Research in Computer Security, Heraklion, Greece, September 26-30, 2016, Proceedings, Part II / [ed] Ioannis Askoxylakis, Sotiris Ioannidis, Sokratis Katsikas,Catherine Meadows, Cham: Springer, 2016, Vol. 9879, s. 121-139Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Service providers collect and process more user data then ever, while users of these services remain oblivious to the actual processing and utility of the processed data to the service providers. This leads users to put less trust in service providers and be more reluctant to share data. Transparency logging is about service providers continuously logging descriptions of the data processing on their users' data, where each description is intended for a particular user.

We propose Insynd, a new cryptographic scheme for privacy-preserving transparency logging. Insynd improves on prior work by (1) increasing the utility of all data sent through the scheme thanks to our publicly verifiable proofs: one can disclose selected events without having to disclose any long term secrets; and (2) enabling a stronger adversarial model: Inysnd can deal with an untrusted server (such as commodity cloud services) through the use of an authenticated data structure named Balloon. Finally, our publicly available prototype implementation shows greatly improved performance with respect to related work and competitive performance for more data-intensive settings like secure logging.

Ort, förlag, år, upplaga, sidor
Cham: Springer, 2016. Vol. 9879, s. 121-139
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9879
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-46375DOI: 10.1007/978-3-319-45741-3_7ISI: 000387954500007ISBN: 978-3-319-45740-6 (tryckt)OAI: oai:DiVA.org:kau-46375DiVA, id: diva2:1010232
Konferens
ESORICS 2016 - The 21st European Symposium on Research in Computer Security, Heraklion, Greece, September 26-30, 2016
Projekt
HITSA4CloudTillgänglig från: 2016-10-03 Skapad: 2016-10-03 Senast uppdaterad: 2019-11-11Bibliografiskt granskad

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Pulls, Tobias

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