Secure Data Transmission Using Quantum Cryptography in Fog Computing

Mangla, Cherry; Rani, Shalli; Atiglah, Henry Kwame

doi:10.1155/2022/3426811

Cited by 10 publications

(3 citation statements)

References 17 publications

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“…They adapted LRFEs by including FE for regular languages in addition to the Attribute-Based Encryption (ABE) for large world, and ABE with short cipher text. However, in [15], C. Mangla et al proposed an approach to secure data transmission in fog computing using quantum cryptography which is a way used to provide a new computation method over classical computing. Indeed, quantum mechanics laws provide the power to quantum computing over the classical systems.…”

Section: Related Workmentioning

confidence: 99%

Fog Computing Network Security Based on Resources Management

BenDaoud

Othmen

Hamdi

et al. 2023

Preprint

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Fog Computing paradigm is designed as an extension of cloud computing due to the need for a supporting platform that is capable to provide the requirements of the Internet of Things (IoT). However, due to its features, fog obviously confronts numerous security and privacy risks, such as huge scale geolocation, heterogeneity, and mobility. Indeed, there are many problems resulting from security violations and breaches. Thus, to exceed these problems, we propose an efficient access control system, ameliorated with appropriate monitoring function and risk estimation. Moreover, a comprehensive resource management mechanism is proposed to ameliorate the system performance and so to maintain low latency. Our aim is to further enhance data security, privacy and resource management for IoT-users. To demonstrate the efficiency, feasibility, and security of our proposed scheme, we perform an extensive simulation using Network Security Simulator (Nessi2).

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Section: Related Workmentioning

confidence: 99%

Fog Computing Network Security Based on Resources Management

BenDaoud

Othmen

Hamdi

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…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]. The employment of cryptographic methods helps to maintain the secrecy and privacy of cloud data, much like with Enhanced RSA (ERSA) [18], Non-Deterministic Cryptographic Scheme (NCS) [19], and Enhanced Homomorphism scheme [20].…”

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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“…The adoption of cloud computing is accompanied by a number of security issues, such as data privacy and confidentiality [ 10 – 12 ]. In order to guarantee the secrecy and privacy of cloud data, cryptographic techniques have shown to be an effective and efficient methods [ 12 – 16 , 18 ].…”

Section: 0 Introductionmentioning

confidence: 99%

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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Secure Data Transmission Using Quantum Cryptography in Fog Computing

Cited by 10 publications

References 17 publications

Fog Computing Network Security Based on Resources Management

Fog Computing Network Security Based on Resources Management

Cryptographic Solutions for Data Security in Cloud Computing:

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

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