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A Fragile Watermarking Chaotic Authentication Scheme Based on Fuzzy C-Means for Image Tamper Detection

A Fragile Watermarking Chaotic Authentication Scheme Based on Fuzzy C-Means for Image Tamper Detection
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Author(s): Kamal Hamouda (Mansoura University, Egypt), Mohammed Mahfouz Elmogy (Faculty of Computers and Information, Mansoura University, Egypt)and B. S. El-Desouky (Mansoura University, Egypt)
Copyright: 2017
Pages: 23
Source title: Handbook of Research on Machine Learning Innovations and Trends
Source Author(s)/Editor(s): Aboul Ella Hassanien (Cairo University, Egypt)and Tarek Gaber (Suez Canal University, Egypt)
DOI: 10.4018/978-1-5225-2229-4.ch037

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Abstract

In the last two decades, several fragile watermarking schemes have been proposed for image authentication. In this paper, a novel fragile watermarking authentication scheme based on Chaotic Maps and Fuzzy C-Means (FCM) clustering technique is proposed. In order to raise the value of the tamper localization, detection accuracy, and security of the watermarking system the hybrid technique between Chaotic maps and FCM are introduced. In addition, this scheme can be applied to any image with different sizes not only in the square or even sized images. The proposed scheme gives high values especially in security because the watermarks pass through two levels to ensure security. Firstly, The FCM clustering technique makes the watermark dependent on the plain image. Secondly, the Chaotic maps are sensitive to initial values. Experimental results show that the proposed scheme achieves superior tamper detection and localization accuracy under different attacks.

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