A class of non‐linear asymptotic fingerprinting codes with ε‐error

Abstract

Pupose

The purpose of this paper is to show that a fingerprinting code is a set of code words that are embedded in each copy of a digital object, with the purpose of making each copy unique. If the fingerprinting code is c‐secure, then the decoding of a pirate word created by a coalition of at most c dishonest users, will expose at least one of the guilty parties.

Design/methodology/approach

The paper presents a systematic strategy for collusions attacking a fingerprinting scheme. As a particular case, this strategy shows that linear codes are not good fingerprinting codes. Based on binary linear equidistant codes, the paper constructs a family of fingerprinting codes in which the identification of guilty users can be efficiently done using minimum distance decoding. Moreover, in order to obtain codes with a better rate a 2‐secure fingerprinting code is also constructed by concatenating a code from the previous family with an outer IPP code.

Findings

The particular choice of the codes is such that it allows the use of efficient decoding algorithms that correct errors beyond the error correction bound of the code, namely a simplified version of the Chase algorithms for the inner code and the Koetter‐Vardy soft‐decision list decoding algorithm for the outer code.

Originality/value

The paper presents a fingerprinting code together with an efficient chasing algorithm.

Citation

Fernandez, M., Cotrina‐Navau, J. and Soriano, M. (2007), "A class of non‐linear asymptotic fingerprinting codes with ε‐error", Online Information Review, Vol. 31 No. 1, pp. 22-37. https://doi.org/10.1108/14684520710731010