Dr.-Ing. Michael Zohner

I was a Ph.D. student and member of the Engineering Cryptographic Protocols (ENCRYPTO) group at the Center for Research in Security and Privacy (CRISP) between 2012 and 2016. In December 2016, I graduated with distinction on undefinedFaster Oblivious Transfer Extension and its Impact on Secure Computation.

My research focuses on the design and implementation of privacy preserving cryptographic protocols.

Furthermore, my interests include multi-party computation, privacy preserving protocols, side-channel attacks and countermeasures against power analysis attacks, and the SHA-3 competition.

You can find further information on my personal webpage.

Publications

Faster private set intersection based on OT extension

Author Benny Pinkas, Thomas Schneider, Michael Zohner
Date August 2014
Kind Inproceedings
Book title23rd USENIX Security Symposium (USENIX Security'14)
KeyTUD-CS-2014-0095
Research Areas CASED, Engineering Cryptographic Protocols, Secure Data, Secure Protocols, CYSEC
Abstract Private set intersection (PSI) allows two parties to compute the intersection of their sets without revealing any information about items that are not in the intersection. It is one of the best studied applications of secure computation and many PSI protocols have been proposed. However, the variety of existing PSI protocols makes it difficult to identify the solution that performs best in a respective scenario, especially since they were not all implemented and compared in the same setting. In this work, we give an overview on existing PSI protocols that are secure against semi-honest adversaries. We take advantage of the most recent efficiency improvements in OT extension to propose significant optimizations to previous PSI protocols and to suggest a new PSI protocol whose runtime is superior to that of existing protocols. We compare the performance of the protocols both theoretically and experimentally, by implementing all protocols on the same platform, and give recommendations on which protocol to use in a particular setting.
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