Structural digital signature and semi-fragile fingerprinting for image authentication in wavelet domain

Yan Zhu; Chang Tsun Li; Hong Jia Zhao

doi:10.1109/IAS.2007.46

Structural digital signature and semi-fragile fingerprinting for image authentication in wavelet domain

Yan Zhu, Chang Tsun Li, Hong Jia Zhao

Computing and Mathematics

Research output: Book chapter/Published conference paper › Conference paper

12 Citations (Scopus)

Abstract

In this paper, a novel semi-fragile authentication scheme based on block-mean quantization in the wavelet domain is proposed for image authentication. The scheme is composed of a structural digital signature process and a semi-fragile watermarking/ fingerprinting algorithm. In the signature process, the invariants are extracted as authentication codes from the quantization relationships and hierarchy information of discrete wavelet decomposition. The authentication codes consist of inter-block and intra-block codes in order to detect and localize tampering. The semi-fragile fingerprinting algorithm is intended to embed the signature via the use of block-mean quantization. The proposed scheme can effectively detect and localize the malicious modification while tolerating lossy compression.

Original language	English
Title of host publication	Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security
Pages	478-483
Number of pages	6
DOIs	https://doi.org/10.1109/IAS.2007.46
Publication status	Published - 2007
Event	3rd Internationl Symposium on Information Assurance and Security, IAS 2007 - Manchester, United Kingdom Duration: 20 Aug 2007 → 31 Aug 2007

Conference

Conference	3rd Internationl Symposium on Information Assurance and Security, IAS 2007
Country	United Kingdom
City	Manchester
Period	20/08/07 → 31/08/07

Access to Document

10.1109/IAS.2007.46

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title = "Structural digital signature and semi-fragile fingerprinting for image authentication in wavelet domain",

abstract = "In this paper, a novel semi-fragile authentication scheme based on block-mean quantization in the wavelet domain is proposed for image authentication. The scheme is composed of a structural digital signature process and a semi-fragile watermarking/ fingerprinting algorithm. In the signature process, the invariants are extracted as authentication codes from the quantization relationships and hierarchy information of discrete wavelet decomposition. The authentication codes consist of inter-block and intra-block codes in order to detect and localize tampering. The semi-fragile fingerprinting algorithm is intended to embed the signature via the use of block-mean quantization. The proposed scheme can effectively detect and localize the malicious modification while tolerating lossy compression.",

author = "Yan Zhu and Li, {Chang Tsun} and Zhao, {Hong Jia}",

year = "2007",

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note = "3rd Internationl Symposium on Information Assurance and Security, IAS 2007 ; Conference date: 20-08-2007 Through 31-08-2007",

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Zhu, Y, Li, CT & Zhao, HJ 2007, Structural digital signature and semi-fragile fingerprinting for image authentication in wavelet domain. in Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security., 4299820, pp. 478-483, 3rd Internationl Symposium on Information Assurance and Security, IAS 2007, Manchester, United Kingdom, 20/08/07. https://doi.org/10.1109/IAS.2007.46

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AB - In this paper, a novel semi-fragile authentication scheme based on block-mean quantization in the wavelet domain is proposed for image authentication. The scheme is composed of a structural digital signature process and a semi-fragile watermarking/ fingerprinting algorithm. In the signature process, the invariants are extracted as authentication codes from the quantization relationships and hierarchy information of discrete wavelet decomposition. The authentication codes consist of inter-block and intra-block codes in order to detect and localize tampering. The semi-fragile fingerprinting algorithm is intended to embed the signature via the use of block-mean quantization. The proposed scheme can effectively detect and localize the malicious modification while tolerating lossy compression.

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