Universally composable two-party and multi-party secure computation
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Private collaborative forecasting and benchmarking
Proceedings of the 2004 ACM workshop on Privacy in the electronic society
Fairplay—a secure two-party computation system
SSYM'04 Proceedings of the 13th conference on USENIX Security Symposium - Volume 13
A Study of Secure Multi-party Ranking Problem
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 02
Fostering the Uptake of Secure Multiparty Computation in E-Commerce
ARES '08 Proceedings of the 2008 Third International Conference on Availability, Reliability and Security
Protocols for secure computations
SFCS '82 Proceedings of the 23rd Annual Symposium on Foundations of Computer Science
Building a privacy-preserving benchmarking enterprise system
Enterprise Information Systems - Challenges and Solutions in Enterprise Computing - 11th International IEEE EDOC Conference (EDOC 2007)
Public-key cryptosystems based on composite degree residuosity classes
EUROCRYPT'99 Proceedings of the 17th international conference on Theory and application of cryptographic techniques
Filtering for private collaborative benchmarking
ETRICS'06 Proceedings of the 2006 international conference on Emerging Trends in Information and Communication Security
A practical implementation of secure auctions based on multiparty integer computation
FC'06 Proceedings of the 10th international conference on Financial Cryptography and Data Security
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We propose a centralised platform for quantitative benchmarking of key performance indicators (KPI) among mutually distrustful organisations. Our platform offers users the opportunity to request an ad-hoc benchmarking for a specific KPI within a peer group of their choice. Architecture and protocol are designed to provide anonymity to its users and to hide the sensitive KPI values from other clients and the central server. To this end, we integrate user-centric peer group formation, exchangeable secure multi-party computation protocols, short-lived ephemeral key pairs as pseudonyms, and attribute certificates. We show by empirical evaluation of a prototype that the performance is acceptable for reasonably sized peer groups.