A novel matrix multiplication based LSB substitution mechanism for data security and authentication

Rinki, Kumari; Verma, Puspneel; Singh, Ranjeet Kumar

doi:10.1016/j.jksuci.2021.01.013

Cited by 15 publications

(15 citation statements)

References 14 publications

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“…PSNR is mathematically based metrics which measures the intensity of the distortion between the original image and distorted image. The higher the PSNR, the more similar they are and the better the quality of the reproduce image (Rinki et al, 2021). The next metrics Normalized correlation coefficient (NCC) is used to evaluate the robustness of algorithm (Hurrah et al, 2019;Kishore, 2020).…”

Section: Simulation Results and Analysismentioning

confidence: 99%

“…Digital watermarking technique embeds a digital content with unique description (specific identification) signal known as watermark which can be extracted later for authentication purpose (Rinki et al, 2021;Sharma et al, 2019). The host digital content and watermark content can be any multimedia object.…”

Section: Introductionmentioning

confidence: 99%

“…The more complex but more robust frequency domain technique uses mathematical tools to embed watermark by modulating the coefficient in transform domain such as DCT, DWT etc. (Rinki et al, 2021;Singh et al, 2020). Although, robustness, transparency and payload capacity are three prime requirements to develop any watermarking system, it always needs an optimal adjustment between these requirements.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Feature Extraction Dual DCT-DWT Image Watermarking Combined with Chaos-Based Cryptosystem

Rinki¹,

Verma²,

Choudhury³

et al. 2021

Journal of Computer Science

Self Cite

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As a result of the emerging technologies such as Internet-of-Things (IoT), data analysis and automation in many aspects of identity, watermarking has become increasingly important. A majority of prior systems focused on watermark embedding and recovery techniques for binary and grey-scale images in one specified region of the cover image, making the system less dependable. This study develops a novel feature extraction based blind cryptographic watermarking mechanism which provides multi-layered protection to digital data to significantly improve the watermarking system's characteristics such as robustness, visible quality and security. A hybrid algorithm is proposed by combining DCT and multilevel DWT transformation technique to provide copyright protection and authentication to digital image over the internet. Unlike the previous model here both the host and watermark images are considered colored. Prior to embedding, a layer wise encryption is performed on watermark using Chaosbased cryptosystem to enhance the security of proposed system. It is processed by applying confusion and diffusion process on individual RBG (Red, Green and Blue) components of watermark image. Then the cover image and watermark image are directed by DCT coefficient and multiregion Discrete wavelet transformation to embed the watermark in both high and low sub band of cover image. Thus, by embedding the watermark twice in low and high regions of the cover image, the algorithm's robustness is considerably improved. For better imperceptibility, the proposed method also applies novel perception using SSIMlPT metric to extract the similar features between cover image and watermark image. This is done by dividing the cover image and watermark image into non overlapping blocks of size 8x8 respectively. Now, the best match blocks of cover image are chosen for further embedding a watermark in both low-frequency and high-frequency regions of cover image. In addition, the use of non-consecutive blocks of pixels to contain the watermark makes the system more resistant to a range of attacks. In an experimental scenario, the approach is evaluated using a variety of quality criteria and watermark removal attacks. In comparison to other existing systems, the results suggest that the model can allow invisible watermarking as well as excellent attack resistance.

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Section: Simulation Results and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Feature Extraction Dual DCT-DWT Image Watermarking Combined with Chaos-Based Cryptosystem

Rinki¹,

Verma²,

Choudhury³

et al. 2021

Journal of Computer Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…Conventional data-hiding techniques, such as Least Significant Bit (LSB) substitution [14], LSB matching [15], and Pixel Value Differences (PVD), result in cover media distortion, which remains even after the hidden data are extracted. Though these irreversible data-hiding techniques provide improved data-embedding capabilities, they cannot be used in applications were extraction of both the secret data and the original image is the prime requirement.…”

Section: Related Literaturementioning

confidence: 99%

SVIoT: A Secure Visual-IoT Framework for Smart Healthcare

Kaw

Gull

Parah

2022

Sensors

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The advancement of the Internet of Things (IoT) has transfigured the overlay of the physical world by superimposing digital information in various sectors, including smart cities, industry, healthcare, etc. Among the various shared information, visual data are an insensible part of smart cities, especially in healthcare. As a result, visual-IoT research is gathering momentum. In visual-IoT, visual sensors, such as cameras, collect critical multimedia information about industries, healthcare, shopping, autonomous vehicles, crowd management, etc. In healthcare, patient-related data are captured and then transmitted via insecure transmission lines. The security of this data are of paramount importance. Besides the fact that visual data requires a large bandwidth, the gap between communication and computation is an additional challenge for visual IoT system development. In this paper, we present SVIoT, a Secure Visual-IoT framework, which addresses the issues of both data security and resource constraints in IoT-based healthcare. This was achieved by proposing a novel reversible data hiding (RDH) scheme based on One Dimensional Neighborhood Mean Interpolation (ODNMI). The use of ODNMI reduces the computational complexity and storage/bandwidth requirements by 50 percent. We upscaled the original image from M × N to M ± 2N, dissimilar to conventional interpolation methods, wherein images are upscaled to 2M × 2N. We made use of an innovative mechanism, Left Data Shifting (LDS), before embedding data in the cover image. Before embedding the data, we encrypted it using an AES-128 encryption algorithm to offer additional security. The use of LDS ensures better perceptual quality at a relatively high payload. We achieved an average PSNR of 43 dB for a payload of 1.5 bpp (bits per pixel). In addition, we embedded a fragile watermark in the cover image to ensure authentication of the received content.

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“…Joshi et al [21] presented a detailed study of LSB method using different secret message sizes to analyze its impact on the PSNR and MSE metrics. Rinki et al [22] proposed a new LSB digital watermarking scheme based on the selection of the non-consecutive matrix of pixels to replace the last three bits of each RGB components of the host image by the bits of the watermark image, the authors claimed that this scheme enhance robustness, imperceptibility, and security. Sowmya et al [23] proposed an algorithm based on the embedding of a watermark into another watermark in addition to encrypting the main watermark using A5/1 encryption algorithm, then the encrypted watermark is inserted into the two LSBs of the host image green and blue components.…”

Section: Introductionmentioning

confidence: 99%

Secure fragile watermarking based on Huffman encoding and optimal embedding strategy

Zairi

Boujiha

Ouelli

2023

IJEECS

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<span lang="EN-US">Image watermarking is one of the most popular techniques used to assure information security, integrity, and authenticity. Watermarking algorithms can be categorised, according to the domain of insertion, as either spatial or spectral domain-based watermarking approaches. The resulted watermark can also be classified as either strong designed to withstand malicious attacks or fragile designed to detect every possible alteration. In order to combine the advantages of the two categories of watermarking algorithms, this paper proposes a new fragile hybrid domain-based watermarking scheme to get both robustness and imperceptibility using an optimal embedding strategy according to the entropy values of the host images blocs. To enhance security and safety, the watermark undergoes an encryption using Huffman encoding to produce a scrambled watermark. This scheme is evaluated based on different metrics like the peak signal to noise ratio, the structural index similarity, and the normalized correlation coefficient, satisfactory results are attained. The experimental results show that Huffman encryption and optimal blocs selection offer good features of security and imperceptibility.</span>

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A novel matrix multiplication based LSB substitution mechanism for data security and authentication

Cited by 15 publications

References 14 publications

A Novel Feature Extraction Dual DCT-DWT Image Watermarking Combined with Chaos-Based Cryptosystem

A Novel Feature Extraction Dual DCT-DWT Image Watermarking Combined with Chaos-Based Cryptosystem

SVIoT: A Secure Visual-IoT Framework for Smart Healthcare

Secure fragile watermarking based on Huffman encoding and optimal embedding strategy

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