Secure data hiding scheme using shape generation algorithm: a key based approach

Yadav, Gyan Singh; Ojha, Aparajita

doi:10.1007/s11042-017-5200-1

Cited by 6 publications

(2 citation statements)

References 36 publications

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“…Chaudhari and Tiwari [30] work on heuristic-based association rule hiding using oracle real application clusters by introducing the concept of the impact factor of the transaction on the rule. Yadav and Ojha [31] work on data hiding in a generic grid that could be of pixels or bits.…”

Section: Output Privacymentioning

confidence: 99%

Enhanced Secured Map Reduce layer for Big Data privacy and security

2019

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Data security, according to the common definition is confidentiality, integrity, and availability of data. It is the act of guaranteeing that the information is safe from unauthorized access, ensures that the information is reliable and accurate which is accessible whenever it is required. An information security design incorporates features, for example, gathering the required data, protecting it, and obliterating any data that is never again required [1]. Privacy, on the other hand, is the appropriate use of information. In other words, merchants and companies should use the data provided to them only for the intended purpose. For example, if an individual purchase a product from XYZ Company and provides them with their personal information like address, card number, etc. then this company cannot sell that information to the third party. Companies need to enact a data security policy for the sole purpose of ensuring data privacy of their consumer personal information. Moreover, companies must ensure data privacy because the information is an asset to the company. However, no data security policy can overcome the

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Section: Output Privacymentioning

confidence: 99%

Enhanced Secured Map Reduce layer for Big Data privacy and security

2019

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“…Some studies show higher security schemes were also implemented using the similarities of the pixel neighbourhood, redundancy, inherent features in the image, etc. [31][32][33][34][35][36]. Chaotic system-based various schemes have provided enhanced security performance.…”

Section: Introductionmentioning

confidence: 99%

A Robust Data Hiding Reversible Technique for Improving the Security in e-Health Care System

Kanwal¹,

Feng²,

Almogren³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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The authenticity and integrity of healthcare is the primary objective. Numerous reversible watermarking schemes have been developed to improve the primary objective but increasing the quantity of embedding data leads to covering image distortion and visual quality resulting in data security detection. A trade-off between robustness, imperceptibility, and embedded capacity is difficult to achieve with current algorithms due to limitations in their ability. Keeping this purpose insight, an improved reversibility watermarking methodology is proposed to maximize data embedding capacity and imperceptibility while maintaining data security as a primary concern. A key is generated by a random path with minimum bit flipping is selected in the 4 × 4 block to gain access to the data embedding patterns. The random path's complex structure ensures data security. Data of various sizes (8 KB, 16 KB, 32 KB) are used to analyze image imperceptibility and evaluate quality factors. The proposed reversible watermarking methodology performance is tested under standard structures PSNR, SSIM, and MSE. The results revealed that the MRI watermarked images are imperceptible, like the cover image when LSB is 3 bits plane. Our proposed reversible watermarking methodology outperforms other related techniques in terms of average PSNR (49.29). Experiment results show that the suggested reversible watermarking method improves data embedding capacity and imperceptibility compared to existing state-of-the-art approaches.

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