2009
DOI: 10.1007/s00778-008-0129-7
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Privacy-preserving indexing of documents on the network

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Cited by 43 publications
(51 citation statements)
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“…Employing the parameters of Section IV-B with = 0:6, n f = 20 and jRj = 2M, we numerically evaluate the slighly modified versions of eqs. (8) and (9). As depicted in Figures 11, 12, the anonymity set by PANACEA for unauthorized users is 4:92 m for resource privacy and the anonymity set for provider privacy is 36.7.…”
Section: System Entropymentioning
confidence: 99%
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“…Employing the parameters of Section IV-B with = 0:6, n f = 20 and jRj = 2M, we numerically evaluate the slighly modified versions of eqs. (8) and (9). As depicted in Figures 11, 12, the anonymity set by PANACEA for unauthorized users is 4:92 m for resource privacy and the anonymity set for provider privacy is 36.7.…”
Section: System Entropymentioning
confidence: 99%
“…Super peers index the data of sub-peers and they could preserve data privacy by not replying to the queries from unauthorized peers. However, this approach assumes that all super-peers are unanimously trusted by their sub-peers to enforce their data privacy and access control policies, which is difficult in general [9]. In PANACEA, peers can share their resources through index hosted on untrusted nodes, and yet, can enforce access control.…”
Section: Related Workmentioning
confidence: 99%
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“…E.g. μ-Serv is a system developed at IBM which is used for indexing distributed access-controlled documents [1]. μ-Serv has a centralized index that responds to a keyword search by returning a list of sites that have at least an x% probability of having documents which contain query keywords.…”
Section: Index Confidentialitymentioning
confidence: 99%