A Hybrid Semi-fragile Image Watermarking Technique Using SVD-BND Scheme for Tampering Detection with Dual Authentication

Prasad, Koyi Lakshmi; Rao, T. Ch. Malleswara; Kannan, Vignesh

doi:10.1109/iacc.2016.102

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…This study considers input image with specific dimension as it is resized followed by translating the resized image to column vector of image . It also applies Mersenne twister random algorithm on the secret key [44]. For a bit word length, the Mersenne Twister produces integers in the range of [0, 2 − 1] based on a matrix linear recurrence over a finite binary field , the is a twisted generalized feedback shift register (GFSR).…”

Section: A Algorithm For Encrypting Image By Transmitter (Level-1 Enc...mentioning

confidence: 99%

A Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM

Panigrahy,

Maniyath,

Sathiyanarayanan

et al. 2024

IEEE Access

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A robust image encryption process is still one of the most challenging tasks in image security owing to massive degree and sensitivity nature of information in the form of pixels. The hurdles include greater computational difficulty, information loss during encryption, universality, applicability of the approach, and less scalability. Many image encryption methods existing in literature merely encrypt a portion of the data. Therefore, we propose a robust, dynamic, and sophisticated technique to enhance the encryption process to make it difficult for an attacker to gain unauthorized access to the pixel data. The proposed system uses a novel analytical research methodology through dynamically harnessing the potential of neural network that offers better forward and backward secrecy, dynamic control, and automatic management unlike any existing system. The encryption procedure comprises of two levels, first level is confusion-permutation of input image and second level is diffusion by Bit XOR operation for secure transmission and storage of images. Finally, the encrypted image is used as a target for training the Artificial Neural Network (ANN) model. ANN trained values are used for final level of encryption to develop a Neural Network (NN)-based cryptosystem, where the crypto analyst or the cracker need to know the number of adaptive iterations and the final weights for the encryption and decryption systems to crack the system which offers higher degree of resiliency towards potential threats. Results and security analysis show that our algorithm has good encryption effect, ability of resisting exhaustive attack, statistical attack, and differential attack. The system performance after implementing the proposed method is compared with existing methods present in literature with respect to processing time and Structural Similarity Index Measure (SSIM). Our proposed method offers significant reduction in encryption time and is approximately 10-15% faster than others with SSIM of 0.002165, close to zero after encryption. It also successfully balances the image quality with higher image security and lower computational complexity.

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Section: A Algorithm For Encrypting Image By Transmitter (Level-1 Enc...mentioning

confidence: 99%

A Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM

Panigrahy,

Maniyath,

Sathiyanarayanan

et al. 2024

IEEE Access

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“… Fragile: A fragile watermark is a marker which is destroyed when the data gets altered via linear or nonlinear transformation concept. It is used for image authentication temper detection and integrity protection [13].…”

Section: Classification Of Digital Watermarking Based On Charactermentioning

confidence: 99%

Existing Trends of Digital Watermarking and its Significant Impact on Multimedia Streaming: A Survey

Kumari¹,

Vijaya²,

Naidu³

2019

ijacsa

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Nowadays digital media has reached the general level of resource sharing system and become a convenient way for sharing lots of information among various individuals. However, these digital data are stored and shared over an internet which is an entirely unsecured and most frequently attacked by several attackers, resulting in a massive loss at various parameters and creates severe issues of copyright protection, ownership protection, authentication, secure communication, etc. In recent years, digital watermarking technology has received extensive attention from users and researchers for content protection and digital data authentication. However, before implementing digital watermarking techniques in practical applications, there are still many problems that need to be solved technically and efficiently. The purpose of this manuscript is to provide a detailed survey on current research techniques of digital watermarking techniques for all media formats with their applications and operational process. The prime objective of this manuscript is to reveal the research problem and the efficient requirement to implement robust watermarking technique after analyzing the progress of watermarking schemes and current research trend.

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A Hybrid Semi-fragile Image Watermarking Technique Using SVD-BND Scheme for Tampering Detection with Dual Authentication

Cited by 2 publications

References 25 publications

A Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM

A Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM

Existing Trends of Digital Watermarking and its Significant Impact on Multimedia Streaming: A Survey

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