Title
Anticollusion solutions for asymmetric fingerprinting protocols based on client side embedding
Abstract
In this paper, we propose two different solutions for making a recently proposed asymmetric fingerprinting protocol based on client-side embedding robust to collusion attacks. The first solution is based on projecting a client-owned random fingerprint, securely obtained through existing cryptographic protocols, using for each client a different random matrix generated by the server. The second solution consists in assigning to each client a Tardos code, which can be done using existing asymmetric protocols, and modulating such codes using a specially designed random matrix. Suitable accusation strategies are proposed for both solutions, and their performance under the averaging attack followed by the addition of Gaussian noise is analytically derived. Experimental results show that the analytical model accurately predicts the performance of a realistic system. Moreover, the results also show that the solution based on independent random projections outperforms the solution based on Tardos codes, for different choices of parameters and under different attack models.
Year
DOI
Venue
2015
10.1186/s13635-015-0023-y
EURASIP Journal on Information Security
Keywords
Field
DocType
Fingerprinting, Anticollusion codes, Buyer-seller watermarking protocol, Client-side embedding, Secure watermark embedding
Client-side,Attack model,Embedding,Cryptographic protocol,Computer security,Computer science,Theoretical computer science,Fingerprint,Gaussian noise,Collusion,Random matrix
Journal
Volume
Issue
ISSN
2015
1
1687-417X
Citations 
PageRank 
References 
2
0.36
30
Authors
3
Name
Order
Citations
PageRank
Tiziano Bianchi1100362.55
Alessandro Piva22231157.21
Dasara Shullani3274.14