An improved privacy-preserving clone detection mechanism against realistic adversaries
Reto Weingart · Repository for Publications and Research Data (ETH Zurich) · 2010
Recently, a novel privacy-preserving clone detection mechanism for RFIDenabled supply chains has been presented [1].Since all collaborating partners in the supply chain are reluctant to share their private data, the protocol uses secure multi party computation to hide the actual inputs from the other players.However, the presented mechanism is secure in the semihonest adversary model only.In order to use the protocol in a more realistic environment, we improved the mechanism to deal with a more powerful adversary model, which is called covert adversary model.The basic steps of the protocol stayed the same, but the used subprotocols had to be made secure against the new attacker model.We describe the covert adversary model, explain the newly used subprotocols and evaluate the performance of the developed protocol.