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2010
ACM

Privacy-preserving computation of benchmarks on item-level data using RFID

10 years 8 months ago
Privacy-preserving computation of benchmarks on item-level data using RFID
Currently, companies are about to optimize their internal processes by monitoring items they handle with Radio Frequency Identification (RFID). However, there is a risk that sensitive information is disclosed when sharing RFID data with other companies. Therefore, companies are unwilling to share RFID data. At first glance, Secure Multi-Party Computation (SMC) might reconciliate data sharing with the privacy concerns. However, SMC requires the collaboration of all parties involved in a protocol. This prevents using SMC for many applications based on item-level RFID data collected in supply chains, since some parties may be competitors or have conflicting interests. We present protocols for securely and privately computing item-level metrics using only existing communication links (e.g., messages stored on RFID tags) and an oblivious third party. This enables optimizing the supply chain using novel item-level metrics without compromising sensitive information. Categories and Subject...
Florian Kerschbaum, Nina Oertel, Leonardo Weiss Fe
Added 03 Jul 2010
Updated 03 Jul 2010
Type Conference
Year 2010
Where WISEC
Authors Florian Kerschbaum, Nina Oertel, Leonardo Weiss Ferreira Chaves
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