An improved method for digital image fragile watermarking based on chaotic maps

Nazari, Mahboubeh; Sharif, Amir; Mollaeefar, Majid

doi:10.1007/s11042-016-3897-x

Cited by 32 publications

(10 citation statements)

References 24 publications

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“…formation is tempered and then it is still survived [49]. e mean of robustness is that it will be almost impossible without a license and without the content that defeat marked a great extent the content is not suitable and reliable [50]. When a technique of watermarking is designed, it is essential to revenue in consideration of the future application and the equivalent number of attacks that are possible.…”

Section: Robustness Robustness Means That If Watermark In-mentioning

confidence: 99%

Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions

Khadam

Iqbal

Alruily

et al. 2020

Wireless Communications and Mobile Computing

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In our daily life, Internet-of-Things (IoT) is everywhere and used in many more beneficial functionalities. It is used in our homes, hospitals, fire prevention, and reporting and controlling the environmental changes. Data security is the crucial requirement for IoT since the number of recent technologies in different domains is increasing day by day. Various attempts have been made to cater the user’s demands for more security and privacy. However, a huge risk of security and privacy issues can arise among all those benefits. Digital document security and copyright protection are also important issues in IoT because they are distributed, reproduced, and disclosed with extensive use of communication technologies. The content of books, research papers, newspapers, legal documents, and web pages are based on plain text, and the ownership verification and authentication of such documents are essential. In the current domain of the Internet of Things, limited techniques are available for ownership verification and copyright protection. In the said perspective, this study includes the discussion about the approaches of text watermarking, IoT security challenges, IoT device limitations, and future research directions in the area of text watermarking.

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Section: Robustness Robustness Means That If Watermark In-mentioning

confidence: 99%

Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions

Khadam

Iqbal

Alruily

et al. 2020

Wireless Communications and Mobile Computing

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show abstract

“…(Nazari et al, 2017). We extend this model to a 3D space-time video signal by considering the effect of the potential of the corresponding pixel of the immediate past frame on the potential evolution at the current frame.…”

Section: The Methods Of Spatio-temporal Features Point Detection Of Asmentioning

confidence: 99%

“…In addition, the spatio-temporal corner method is equally insensitive to some very slow-moving behaviour. (Nazari, Sharif, & Mollaeefar, 2017;Nyeem, Boles, & Boyd, 2014). Furthermore, because the response function of the corner-based detection algorithm is not sensitive to the changes made in the time dimension, the number of space-time interest points detected on some videos is less.…”

Section: D-harris Algorithm Spatio-temporal Interest Point Detectionmentioning

confidence: 99%

Digital video watermarking algorithm based on asymmetric causal spatio-temporal filter

et al. 2018

Systems Science & Control Engineering

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Digital video is vulnerable to accidental or malicious destruction in storage, transmission, processing, which damages the legitimate rights and interests of the product owners. Digital video watermarking technology is a mean to protect intellectual property rights. We analyze the basic principle of the 3D-Harris algorithm and Gabor filter method. By considering the temporal causality of the video, the common symmetrical filter is discarded. We design a causal filter which conforms to video characteristics and proposes an asymmetric causal filter in space-time domain. On this basis, an improved video watermarking algorithm is proposed, combining space-time feature points and DCT domain. The experimental results show that proposed algorithm can not only ensure high invisibility, and can effectively resist various attacks in time domain and space domain. ARTICLE HISTORY

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“…In tamper detection, the block-neighborhood characteristic [27] is used to enhance the detection accuracy. Based on [25], many improved algorithms have been put forward [28,29]. In [28], a new chaotic map and block classification method are designed, which further improve the coding efficiency for variable length watermark.…”

Section: Introductionmentioning

confidence: 99%

“…Based on [25], many improved algorithms have been put forward [28,29]. In [28], a new chaotic map and block classification method are designed, which further improve the coding efficiency for variable length watermark. Shi et al [29] embeds the watermark into the LSBs of each block.…”

Section: Introductionmentioning

confidence: 99%

A Self-Recovery Fragile Image Watermarking with Variable Watermark Capacity

2018

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Currently, the watermark capacity of most self-recovery fragile image watermarking schemes is fixed. That means for smooth regions and texture regions, the length of watermark information is always the same. However, it is impractical since more recovery information is needed for the recovery of texture regions. In this paper, a self-recovery fragile image watermarking with variable watermark capacity is proposed. Based on the characteristic of singular value decomposition (SVD), a new block classification method is introduced. The image blocks are classified into smooth blocks and texture blocks. For smooth blocks, the average pixel values are adopted as the recovery information to recover the tampered blocks, while for texture blocks, the quantized and coded DCT coefficients are adopted as the recovery information. After encrypted by binary pseudo-random sequence, the recovery watermark of each block is embedded into its mapping block. In the detection side, the three-level detection mechanism is applied to detect and locate the tampered regions. The experimental results prove that the proposed method achieves good tamper detection results, and the recovered image has better image quality than other self-recovery fragile watermarking methods.

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An improved method for digital image fragile watermarking based on chaotic maps

Cited by 32 publications

References 24 publications

Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions

Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions

Digital video watermarking algorithm based on asymmetric causal spatio-temporal filter

A Self-Recovery Fragile Image Watermarking with Variable Watermark Capacity

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