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LWE-based encryption schemes and their applications in privacy-friendly data aggregation
Citation Link: https://doi.org/10.15480/882.1720
Publikationstyp
Doctoral Thesis
Date Issued
2018
Sprache
English
Author(s)
Advisor
Referee
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2018-07-10
Institut
TORE-DOI
We construct new Learning With Errors-based encryption schemes in order to solve two problems: privacy-preserving data aggregation and privacy-friendly social media marketing.The former allows for the aggregation of privacy-sensitive data from multiple users without trusting the aggregator. Our schemes improve over the state-of-the-art both in terms of runtime and bandwidth e ciency. In particular, our decryption routine is about 150 times faster compared to previous results. Secondly, we propose the first known solution for privacy-friendly social media marketing. Our construction maintains strong security and privacy guarantees and provides cryptographic proofs of correctness.
Subjects
LWE
privacy
encryption
aggregation
cryptography
DDC Class
004: Informatik
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