%0 Conference Proceedings
%T Public-Key Encrypted Bloom Filters with Applications to Supply Chain Integrity
%+ SAP Research [Karlsruhe]
%A Kerschbaum, Florian
%Z Part 3: Privacy-Preserving Data Applications I
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 23th Data and Applications Security (DBSec)
%C Richmond, VA, United States
%Y Yingjiu Li
%I Springer
%3 Data and Applications Security and Privacy XXV
%V LNCS-6818
%P 60-75
%8 2011-07-11
%D 2011
%R 10.1007/978-3-642-22348-8_7
%Z Computer Science [cs]Conference papers
%X Bloom filters provide a space- and time-efficient mean to check the inclusion of an element in a set. In some applications it is beneficial, if the set represented by the Bloom filter is only revealed to authorized parties. Particularly, operations data in supply chain management can be very sensitive and Bloom filters can be applied to supply chain integrity validation. Despite the protection of the represented set, Bloom filter operations, such as the verification of set inclusion, need to be still feasible. In this paper we present privacy-preserving, publicly verifiable Bloom filters which offer both: privacy for the represented set and public Bloom filter operations. We give security proofs in the standard model.
%G English
%Z TC 11
%Z WG 11.3
%2 https://inria.hal.science/hal-01586579/document
%2 https://inria.hal.science/hal-01586579/file/978-3-642-22348-8_7_Chapter.pdf
%L hal-01586579
%U https://inria.hal.science/hal-01586579
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC11
%~ IFIP-WG11-3
%~ IFIP-DBSEC
%~ IFIP-LNCS-6818