Survey of the Security Algorithms over Cloud Environment to Protect Information

Nema, Rajneesh Kumar; Saxena, Aumreesh Kumar; Srivastava, Rajiv K.

doi:10.1109/icetet-sip-2254415.2022.9791643

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…The usage of cloud computing raises a number of security concerns, including data confidentiality and privacy [10,11], and 12]. The use of cryptographic algorithms has shown to be a viable and effective technique of ensuring the secrecy and privacy of cloud data [13][14][15][16], and [17].…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%

Cryptographic Solutions for Data Security in Cloud Computing:

Dawson,

Twum,

Acquah

et al. 2024

JCSANDM

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show abstract

Confimizer: A Novel Algorithm to Optimize Cloud Resource by Confidentiality-Cost Trade-Off Using BiLSTM Network

Achar,

Faruqui,

Bodepudi

et al. 2023

IEEE Access

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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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Survey of the Security Algorithms over Cloud Environment to Protect Information

Cited by 3 publications

References 18 publications

Cryptographic Solutions for Data Security in Cloud Computing:

Cryptographic Solutions for Data Security in Cloud Computing:

Confimizer: A Novel Algorithm to Optimize Cloud Resource by Confidentiality-Cost Trade-Off Using BiLSTM Network

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

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