Local binary pattern‐based reversible data hiding

Sahu, Monalisa; Padhy, Neelamadhab; Gantayat, Sasanko Sekhar; Sahu, Aditya Kumar

doi:10.1049/cit2.12130

Cited by 33 publications

(9 citation statements)

References 45 publications

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“…From Tables 4 and 5 , RC4, Salsa20 and Chacha20, had linear (O (N)) mean encryption and decryption times [ 37 ]. This implies that encryption and decryption times increase as data sizes increased [ 14 , 30 , and 38 ]. Tables 4 and 5 , indicates that RC4, had the lowest encryption and decryption standard deviations of ±0.522 and ±0.363 for data size of 3KB.…”

Section: Discussionmentioning

confidence: 99%

Securing cloud data using secret key 4 optimization algorithm (SK4OA) with a non-linearity run time trend

Frimpong,

Hayfron Acquah,

Missah

et al. 2024

PLoS ONE

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Cloud computing alludes to the on-demand availability of personal computer framework resources, primarily information storage and processing power, without the customer’s direct personal involvement. Cloud computing has developed dramatically among many organizations due to its benefits such as cost savings, resource pooling, broad network access, and ease of management; nonetheless, security has been a major concern. Researchers have proposed several cryptographic methods to offer cloud data security; however, their execution times are linear and longer. A Security Key 4 Optimization Algorithm (SK4OA) with a non-linear run time is proposed in this paper. The secret key of SK4OA determines the run time rather than the size of the data as such is able to transmit large volumes of data with minimal bandwidth and able to resist security attacks like brute force since its execution timings are unpredictable. A data set from Kaggle was used to determine the algorithm’s mean and standard deviation after thirty (30) times of execution. Data sizes of 3KB, 5KB, 8KB, 12KB, and 16 KB were used in this study. There was an empirical analysis done against RC4, Salsa20, and Chacha20 based on encryption time, decryption time, throughput and memory utilization. The analysis showed that SK4OA generated lowest mean non-linear run time of 5.545±2.785 when 16KB of data was executed. Additionally, SK4OA’s standard deviation was greater, indicating that the observed data varied far from the mean. However, RC4, Salsa20, and Chacha20 showed smaller standard deviations making them more clustered around the mean resulting in predictable run times.

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Section: Discussionmentioning

confidence: 99%

Securing cloud data using secret key 4 optimization algorithm (SK4OA) with a non-linearity run time trend

Frimpong,

Hayfron Acquah,

Missah

et al. 2024

PLoS ONE

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“…The techniques and results provided and linked support and strengthen the objectives specified in several related components, so enhancing the overall advancement of biometric security approaches in our study. Sahu et al [83] investigated the use of a strategy based on local binary patterns. The study offers novel perspectives on reversible data extraction and embedding techniques inside the local binary pattern framework.…”

Section: Data Security and Quantum Computingmentioning

confidence: 99%

A Novel Quantum Hash-Based Attribute-Based Encryption Approach for Secure Data Integrity and Access Control in Mobile Edge Computing-Enabled Customer Behavior Analysis

Singamaneni,

Muhammad,

Ali

2024

IEEE Access

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The domain of Mobile Edge Computing (MEC) has seen rapid growth, making consumer behavior research an essential element in many applications. Nevertheless, in MEC systems that are decentralized and have limited resources, challenges arise in ensuring both data integrity and access control. This paper introduces a new technique called Quantum Hash-Based Attribute-Based Encryption (QH-ABE) to address these issues. Previously, there were several methods available to guarantee data integrity and access control in MEC. However, these systems had limits in managing large and intricate datasets, lacked a standardized protocol for revocation, and incurred significant computational cost. We were prompted by these restrictions to suggest a more efficient technique, which included the use of the QH-ABE method in our study. The suggested solution integrates hash functions with quantum computing concepts to enhance security and control access in MEC-enabled consumer behavior research. The suggested technique provides several benefits compared to traditional hash algorithms by using hash functions. In this technique, we introduce a Recursive Non-Linear Polynomial graph-centered Integrity Algorithm (RNLPIA). RNLPIA enhances security by thwarting covert alterations to data and guaranteeing tamper-evident measures via the generation of unique hash values derived from the content of the data. The suggested method's efficacy and efficiency are proved by a comprehensive experimental assessment, highlighting its capability to fulfill the data integrity and access control needs of MEC situations. The performance of our technology showcases its potential and paves the way for using quantum computing technologies for accessing control and data security. This work contributes to the progress of privacy-preserving, secure analysis of consumer behavior in the dynamic MEC environment.INDEX TERMS Access control, Attribute-based encryption (ABE), Customer behavior analysis, Data integrity and security, Mobile edge computing (MEC), Quantum key distribution.

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“…Regardless, the pixel power of surface pictures makes it more sensible to introduce more EBs when appeared differently in relation to smooth pictures. Thusly, the proposed work can be contacted to achieve higher HC in surface pictures by brushing LBP with the PVDS-based technique 34 .…”

Section: Summary Of the Related Workmentioning

confidence: 99%

A Huffman code LSB based image steganography technique using multi-level encryption and achromatic component of an image

Rahman,

Uddin,

Hussain

et al. 2023

Sci Rep

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In the recent couple of years, due to the accelerated popularity of the internet, various organizations such as government offices, military, private companies, etc. use different transferring methods for exchanging their information. The Internet has various benefits and some demerits, but the primary bad mark is security of information transmission over an unreliable network, and widely uses of images. So, Steganography is the state of the art of implanting a message in the cover objects, that nobody can suspect or identify it. Therefore, in the field of cover steganography, it is very critical to track down a mechanism for concealing data by utilizing different blends of compression strategies. Amplifying the payload limit, and robustness, and working on the visual quality are the vital factors of this research to make a reliable mechanism. Different cover steganography research strategies have been recommended, and each adores its benefits and impediments but there is a need to foster some better cover steganography implements to accomplish dependability between the essential model of cover steganography. To handle these issues, in this paper we proposed a method in view of Huffman code, Least Significant Bits (LSB) based cover steganography utilizing Multi-Level Encryption (MLE) and colorless part (HC-LSBIS-MLE-AC) of the picture. It also used different substitution and flicking concepts, MLE, Magic matrix, and achromatic concepts for proving the proficiency, and significance of the method. The algorithm was also statistically investigated based on some Statistical Assessment Metrics (SAM) such as Mean Square Error (MSE), Peak Signal Noise Ratio (PSNR), Normalized Cross Correlation (NCC), Structural Similarity Index Metric (SSIM), etc. and different perspectives. The observational outcomes show the likelihood of the proposed algorithm and the capacity to give unwavering quality between security, payload, perception, computation, and temper protection.

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Local binary pattern‐based reversible data hiding

Cited by 33 publications

References 45 publications

Securing cloud data using secret key 4 optimization algorithm (SK4OA) with a non-linearity run time trend

Securing cloud data using secret key 4 optimization algorithm (SK4OA) with a non-linearity run time trend

A Novel Quantum Hash-Based Attribute-Based Encryption Approach for Secure Data Integrity and Access Control in Mobile Edge Computing-Enabled Customer Behavior Analysis

A Huffman code LSB based image steganography technique using multi-level encryption and achromatic component of an image

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