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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/118446...
Part of book or chapter of book . 2006 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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Off-Line Keyword Guessing Attacks on Recent Keyword Search Schemes over Encrypted Data

Authors: Jin Wook Byun; Hyun Suk Rhee; Hyun-A Park; Dong Hoon Lee 0001;

Off-Line Keyword Guessing Attacks on Recent Keyword Search Schemes over Encrypted Data

Abstract

A keyword search scheme over encrypted documents allows for remote keyword search of documents by a user in possession of a trapdoor (secret key). A data supplier first uploads encrypted documents on a storage system, and then a user of the storage system searches documents containing keywords while insider (such as administrators of the storage system) and outsider attackers do not learn anything else about the documents. In this paper, we firstly raise a serious vulnerability of recent keyword search schemes, which lies in the fact that keywords are chosen from much smaller space than passwords and users usually use well-known keywords for search of document. Hence this fact sufficiently gives rise to an off-line keyword guessing attack. Unfortunately, we observe that the recent public key-based keyword search schemes are susceptible to an off-line keyword guessing attack. We demonstrated that anyone (insider/outsider) can retrieve information of certain keyword from any captured query messages.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
255
Top 1%
Top 1%
Top 10%
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