Multiple watermarking technique for securing online social network contents using Back Propagation Neural Network

Singh, Amit Kumar; Kumar, Basant; Singh, Sanjay Kumar; Ghrera, Satya Prakash; Mohan, Anand

doi:10.1016/j.future.2016.11.023

Cited by 135 publications

(54 citation statements)

References 24 publications

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“…These techniques are shown in Table 1. For example, in [40], a DCT, DWT, and SVD-based study, based on multiple watermarking techniques for securing online social network content, was proposed. A three-level DWT was applied to the host image for embedding the watermark, and a back-propagation Information 2020, 11, 110 8 of 38 neural network (BPNN) algorithm was applied to the extracted watermark image to minimize the distortion between the host image and the watermarked image.…”

Section: Techniques That Meet Requirements Simultaneouslymentioning

confidence: 99%

Digital Image Watermarking Techniques: A Review

2020

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Digital image authentication is an extremely significant concern for the digital revolution, as it is easy to tamper with any image. In the last few decades, it has been an urgent concern for researchers to ensure the authenticity of digital images. Based on the desired applications, several suitable watermarking techniques have been developed to mitigate this concern. However, it is tough to achieve a watermarking system that is simultaneously robust and secure. This paper gives details of standard watermarking system frameworks and lists some standard requirements that are used in designing watermarking techniques for several distinct applications. The current trends of digital image watermarking techniques are also reviewed in order to find the state-of-the-art methods and their limitations. Some conventional attacks are discussed, and future research directions are given.

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Section: Techniques That Meet Requirements Simultaneouslymentioning

confidence: 99%

Digital Image Watermarking Techniques: A Review

2020

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“…They first encrypt the watermark using FE then use DCT as the second method of encryption. Another study [7] proposed using several different watermarking techniques to secure the data content over unsecured communication channels and framework. They aim to ensure relevant content such as e-voting, passport and other valuable credential to receive and send content securely.…”

Section: Related Literaturementioning

confidence: 99%

A Secure Image Watermarking Architecture based on DWT-DCT Domain and Pseudo-Random Number

Alipour*,

Gerardo,

Medina

2019

IJRTE

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The outburst media contents in today's platforms a need for securing the ownership, authentication and data tampering raised. Protection against tapering the media contents is one of the challenges facing the individuals and industry in a digital age, in another hand rise of artificial neural network models such as deep fake and media contents editors threaten the originality and ownership of media in today digital base life. Demands to secure the ownership and authenticity of data that create by author risen. Hidden the true identity and originality of the media is one way to protect digital creation. Using a watermarked content is one way to protect the ownership of the digital media. It is possible to hide the watermark in the original content to secure it from tapering or illegally usage of the product, by hiding the watermark more securely and acceptable imperceptibility to sensors it is possible to have minimised the effect of watermark process on original contents. In this paper researchers designed an architecture that enhanced and centred on robustness and security of the watermarked image. In this method, we used four random number as seeds generated by a pseudo-random number generator, randomised numbers used as Initial value for encryption of watermark image. Watermark designed in a way that has a lesser footprint on the covered image. Outputs evaluate using PSNR, SSIM and different modification attacks tested against the watermarked image. The result shows that the architecture output is in acceptance range and enhanced the security and robustness of watermarking compere to some existing watermarking architectures and algorithms

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“…Therefore, addressing these challenges has been an interesting problem for researchers in the field. One such effort that has been attracting interest is based on multimedia data hiding, which is a technique to hide multimedia data into a cover message without creating any perceptual distortion of the cover for identification, annotation and copyright (Singh et al 2018;Mohanty et al 2017). In recent years, multimedia data hiding techniques develops very fast and applies to many applications, such as E-health, military, communication, privacy protection, identification, media file archiving, broadcast monitoring, hardware and chip level security, remote education and insurance companies, secured E-voting systems, fingerprinting, real time audio/video, robotics, rightful ownership of identity card and digital cinema (Singh et al 2017;Mohanty et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Multiple watermarking technique for securing online social network contents using Back Propagation Neural Network

Cited by 135 publications

References 24 publications

Digital Image Watermarking Techniques: A Review

Digital Image Watermarking Techniques: A Review

A Secure Image Watermarking Architecture based on DWT-DCT Domain and Pseudo-Random Number

Guest editorial: Recent trends in multimedia data-hiding: a reliable mean for secure communications

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