A Comparative Analysis of Hybrid Encryption Technique for Images in the Cloud Environment

Kulkarni, Pallavi; Khanai, Rajashri; Bindagi, Gururaj

doi:10.1109/iccsp48568.2020.9182153

Cited by 7 publications

(1 citation statement)

References 7 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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