Abstract
The Internet of Things (IoT) connects physical and digital worlds with mobile devices, accompanied by a surge in cybersecurity issues. With the rapid adoption of mobile devices, mobile forensics emerges as a new interdisciplinary field that concerns many forms of sabotage and cybercrime in the context of mobile computing. One of the most common cyberattacks is tampering. Digital watermarking is a tamper-evident technique used to protect data integrity. In this paper, we present an antitamper image watermarking scheme designed for mobile communications with low computational cost. A reference matrix based on cellular network topology is introduced to guide the watermark embedding and extraction processes. This reference matrix serves as a lookup table to reduce computational complexity, thereby enabling efficient implementation on mobile devices. Our scheme is aimed at offering high accuracy in detecting and localizing tampered regions. We also achieve a high watermarking capacity while leaving the visual quality of the carrier images nearly unharmed. Experimental results validate the effectiveness of our scheme against various types of simulated forgery including cropping and copy/paste attacks.
Highlights
The Internet of Things (IoT) bridges the gap between the physical and digital worlds and, at the same time, brings new cybersecurity challenges [1]
Qin et al [9] embed the authentication bits into the least significant bit (LSB) of the central pixel in one block and propose a block-wise fragile watermarking scheme with tampering localization
Inspired by the turtle shell matrix [17], we design the cellular network reference matrix M = 1⁄2mði, jÞN×N ði, j = 0, 1, 2,⋯,NÞ according to the following rules, where N is determined by the bit depth of the cover image
Summary
The Internet of Things (IoT) bridges the gap between the physical and digital worlds and, at the same time, brings new cybersecurity challenges [1]. Attack resisting and tampering localization are additional metrics used to evaluate the performance of watermarking schemes. Since the embedding of watermark inevitably decreases the image quality, a trade-off must be made between the marked image quality and the ability to perform attack resisting and tampering localization. We propose an image tampering detection scheme based on blind and fragile watermarking scheme that maintains good image quality. (i) This paper designs a cellular network reference matrix, based on which a blind and fragile watermarking scheme is proposed (ii) The proposed scheme achieves a high embedding capacity of 1.403 bpp and maintains a good image quality of 47.16 dB (iii) The proposed scheme can effectively resist attacks including cropping attack and copy and paste.
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