Self-Embedding Authentication Watermarking with Effective Tampered Location Detection and High-Quality Image Recovery

Lee, Chin‐Feng; Shen, Jau-Ji; Chen, Zhao-Ru; Agrawal, Somya

doi:10.3390/s19102267

Cited by 27 publications

(23 citation statements)

References 35 publications

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“…In invisible watermarking techniques, information is hidden inside the object [42]. The hidden process can be performed based on three techniques, which are: robust, fragile and semi-fragile techniques [61]. The robust technique is mostly used to verify the intellectual property rights as it is resistant to many various attacks.…”

Section: Human's Perceptionmentioning

confidence: 99%

See 1 more Smart Citation

Secure Watermarking Schemes and Their Approaches in the IoT Technology: An Overview

Wazirali

Ahmad

Al-Amayreh³

et al. 2021

Electronics

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Information security is considered one of the most important issues in various infrastructures related to the field of data communication where most of the modern studies focus on finding effective and low-weight secure approaches. Digital watermarking is a trend in security techniques that hides data by using data embedding and data extraction processes. Watermarking technology is integrated into different frames without adding an overheard as in the conventional encryption. Therefore, it is efficient to be used in data encryption for applications that run over limited resources such as the Internet of Things (IoT). In this paper, different digital watermarking algorithms and approaches are presented. Additionally, watermarking requirements and challenges are illustrated in detail. Moreover, the common architecture of the watermarking system is described. Furthermore, IoT technology and its challenges are highlighted. Finally, the paper provides the motivations, objectives and applications of the recent secure watermarking techniques in IoT and summarises them into one table. In addition, the paper highlights the potential to apply the modified watermark algorithms to secure IoT networks.

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Section: Human's Perceptionmentioning

confidence: 99%

“…In [61], the researchers propose a self-embedding authentication process in watermarking technology in order to discover and recover different tampered locations. Two types of detection processes are proposed, which comprise the pixel-wise and block-wise processes.…”

Section: Fragilementioning

confidence: 99%

Secure Watermarking Schemes and Their Approaches in the IoT Technology: An Overview

Wazirali

Ahmad

Al-Amayreh³

et al. 2021

Electronics

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show abstract

“…Reference [8] presents a self-embedding authentication method that helps to detect and locate tampered areas as well as to recover the tampered area. They introduced two types of detection method: block-wise and pixel-wise methods.…”

Section: Summary Of the Special Issuementioning

confidence: 99%

Security and Privacy in Wireless Sensor Networks: Advances and Challenges

Lee

2020

Sensors

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“…The other category is random mapping. Lee et al [8] proposed a self-embedded authentication watermarking algorithm, which generates a random sequence through a key and finds the mapping block according to the random sequence. The embedding method from ref.…”

Section: Introductionmentioning

confidence: 99%

Image fragile watermarking algorithm based on deneighbourhood mapping

Wang¹,

Li²,

Gong³

et al. 2022

IET Image Processing

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To address the security risk caused by fixed offset mapping and the limited recoverability of random mapping used in image watermarking, a self‐embedding fragile image watermarking algorithm based on deneighbourhood mapping are proposed. First, the image is divided into several 2 × 2 blocks, and authentication watermark and recovery watermark are generated based on the average value of the image blocks. Then, the denighbourhood mapping is implemented as, for each image block, its mapping block is randomly selected outside its neighbourhood. Finally, the authentication watermark and the recovery watermark are embedded into the image block itself and its mapping block. Theoretical analysis indicates that in the case of continuous area tampering, the proposed watermarking algorithm can achieve a better recovery rate than that of the method based on the random mapping. The experimental results verify the rationality and effectiveness of the theoretical analysis. Moreover, compared with the existing embedding algorithms based on random mapping, chaos mapping, and Arnold mapping, in the case of continuous area tampering, the proposed algorithm also achieves a higher average recovery rate.

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Self-Embedding Authentication Watermarking with Effective Tampered Location Detection and High-Quality Image Recovery

Cited by 27 publications

References 35 publications

Secure Watermarking Schemes and Their Approaches in the IoT Technology: An Overview

Secure Watermarking Schemes and Their Approaches in the IoT Technology: An Overview

Security and Privacy in Wireless Sensor Networks: Advances and Challenges

Image fragile watermarking algorithm based on deneighbourhood mapping

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