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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/3-540-...
Part of book or chapter of book . 2002 . Peer-reviewed
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Article . 2002
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Content Extraction Signatures

Authors: Ron Steinfeld; Laurence Bull; Yuliang Zheng 0001;

Content Extraction Signatures

Abstract

Motivated by emerging needs in online interactions, we define a new type of digital signature called a 'Content Extraction Signature' (CES). A CES allows the owner, Bob, of a document signed by Alice, to produce an 'extended signature' on selected extracted portions of the original document, which can be verified to originate from Alice by any third party. Cathy, while hiding the unextracted (removed) document portions. The new signature therefore achieves verifiable content extraction with minimal multi-party interaction. We specify desirable functional and security requirements for a CES (including an efficiency requirement: a CES should be more efficient in either computation or communication than the simple multiple signature solution). We propose and analyze four CES constructions which are provably secure with respect to known cryptographic assumptions and compare their performance characteristics.

Keywords

Other information and computing sciences not elsewhere classified

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
117
Top 10%
Top 1%
Top 10%
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