Name
Title | ||
|---|---|---|
Attack and improvement of the joint fingerprinting and decryption method for vector quantization images |
Abstract | ||
|---|---|---|
The first joint fingerprinting and decryption (JFD) scheme proposed by Lin et al. in 2012 aims to protect the distribution of vector quantization (VQ) images. If the decrypted image is illegally redistributed, the fingerprint embedded in the image can be used to trace the traitor. However, this scheme is not secure enough, and it can be broken by a novel attack method proposed in this paper. The embedded fingerprint can be replaced arbitrarily, and therefore the traitor tracing would fail. Besides, the intercepted encrypted image using the static key-trees based approach of the original scheme is also cracked. To make improvements, a new JFD method using codebook partition is proposed. Experiments and analyses show that the proposed method outperforms the original one: the security is enhanced; both the robustness and fragileness are equipped; the fingerprint extraction is simplified; the distortion is limited; and at the same time, the computation and communication overheads are not increased. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.sigpro.2013.12.011 | Signal Processing |
Keywords | Field | DocType |
embedded fingerprint,encrypted image,novel attack method,decryption method,new jfd method,analyses show,decrypted image,vector quantization image,codebook partition,joint fingerprinting,fingerprint extraction,original scheme,attack | Mathematical optimization,Algorithm,Robustness (computer science),Encryption,Theoretical computer science,Fingerprint,Vector quantization,Traitor tracing,Distortion,Mathematics,Codebook,Computation | Journal |
Volume | ISSN | Citations |
99, | 0165-1684 | 10 |
PageRank | References | Authors |
0.52 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ming Li | 1 | 35 | 1.89 |
| Di Xiao | 2 | 329 | 24.54 |
| Yushu Zhang | 3 | 404 | 37.91 |
| Hong Liu | 4 | 34 | 2.69 |