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A C-secure Digital Fingerprinting Scheme Combined with Error-Correcting Code

Authors: Xin Huang; Hongwei Lv;

A C-secure Digital Fingerprinting Scheme Combined with Error-Correcting Code

Abstract

At present, in digital fingerprinting coding algorithm, AND-ACC based on BIBD is the most efficient and can precisely trace several colluders. But when the extracted fingerprint is damaged, a miscarriage of justice is likely to occur. And when the number of users becomes larger, the efficiency of algorithm declines rapidly. Here, combined ACC based on Euclidean Geometries (EG) with ECC, the first is used in the under layer. Then we use Turbo encoder to deal with the fingerprint sequences and get the output as the final fingerprint for users. The scheme has both their advantages. It makes the fingerprint more robust and reduces the mistake rate. Besides it can accommodate more users while it guarantees to find the same number of colluders.

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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!
0
Average
Average
Average
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