Ensuring privacy and confidentiality of data on the cloud using an enhanced homomorphism scheme

Dawson, John Kwao; Twum, Frimpong; Acquah, James Hayfron; Missah, Yaw Marfo

doi:10.31449/inf.v46i8.4305

Cited by 3 publications

(14 citation statements)

References 22 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

Self Cite

View full text Add to dashboard Cite

show abstract

“…. The first value is s i , second value s j , the third value s k , fourth value is s l and with M the plaintext as seen in Eq 1 for data encryption [19].…”

Section: Enhanced Homomorphism Schemementioning

confidence: 99%

“…The comparative analysis of the Enhanced RSA [17], Non-Deterministic Cryptographic Scheme [18], Enhanced Homomorphism Scheme [19], Salsa20 and Chacha20 was implemented on an i7 Lenovo computer, 2.10 GHz CPU using C# language. C# programming…”

Section: Experimentationmentioning

confidence: 99%

“…In this study, the symmetric algorithms Enhanced RSA (ERSA) [ 17 ], Non-Deterministic Cryptographic Scheme (NCS) [ 18 ], Enhanced Homomorphic Scheme (EHS) [ 19 ], Chacaha20, and Salsa20 are compared based on run time trend, throughput time, and memory usage to determine which algorithm among them could be used to ensure the confidentiality and privacy of cloud data.…”

Section: 0 Introductionmentioning

confidence: 99%

“…Researchers have suggested many encryption technique variations to protect cloud data [ 20 ]. Enhanced RSA [ 17 ], Non-Deterministic Cryptographic Scheme [ 18 ], Enhanced Homomorphism Scheme [ 19 ], Chacha20, and Salsa20 are a few examples of these techniques. These suggested encryption techniques are effective in limiting unauthorized access to sensitive information.…”

Section: 0 Introductionmentioning

confidence: 99%

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Ensuring privacy and confidentiality of cloud data: A comparative analysis of diverse cryptographic solutions based on run time trend

Dawson,

Frimpong,

Hayfron Acquah

et al. 2023

PLoS ONE

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The cloud is becoming a hub for sensitive data as technology develops, making it increasingly vulnerable, especially as more people get access. Data should be protected and secured since a larger number of individuals utilize the cloud for a variety of purposes. Confidentiality and privacy of data is attained through the use of cryptographic techniques. While each cryptographic method completes the same objective, they all employ different amounts of CPU, memory, throughput, encryption, and decryption times. It is necessary to contrast the various possibilities in order to choose the optimal cryptographic algorithm. An integrated data size of 5n*102 (KB (∈ 1,2,4,10,20,40) is evaluated in this article. Performance metrics including run time, memory use, and throughput time were used in the comparison. To determine the effectiveness of each cryptographic technique, the data sizes were run fifteen (15) times, and the mean simulation results were then reported. In terms of run time trend, NCS is superior to the other algorithms according to Friedman’s test and Bonferroni’s Post Hoc test.

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Cryptographic Solutions for Data Security in Cloud Computing:

Dawson,

Twum,

Acquah

et al. 2024

JCSANDM

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Due to the recent explosion in the amount of data being created by various social media platforms, e-commerce websites, and other businesses, a paradigm shift from on-site data centers to the cloud is required. Concerns about privacy and secrecy have been a major obstacle to the mainstream adoption of cloud computing. The best approach to protect the confidentiality and privacy of cloud data is by using cryptographic techniques. Researchers have developed several cryptographic algorithms, but they all have lengthy, linear, predictable, memory-intensive execution times. The performance of the CPU, memory, run-time trend, and throughput of the three cryptographic schemes: Enhanced RSA (ERSA), Non-Deterministic Cryptographic Scheme (NCS), and Enhanced Homomorphic Scheme (EHS) are compared using RAsys. The experiment’s results demonstrated that NCS and EHS produced non-linear and non-deterministic run times. Again, NCS and EHS produced the lowest throughput and memory consumption for text and numeric data types when data sizes of 5n*102(KB(∈1,2,4,10,20,40) were processed. However, ERSA produced a run-time trend that was deterministic, linear, and predictable

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Ensuring privacy and confidentiality of data on the cloud using an enhanced homomorphism scheme

Cited by 3 publications

References 22 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

Ensuring privacy and confidentiality of cloud data: A comparative analysis of diverse cryptographic solutions based on run time trend

Cryptographic Solutions for Data Security in Cloud Computing:

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