A Comprehensive Literature of Genetics Cryptographic Algorithms for Data Security in Cloud Computing

Can, Özgü; Thabit, Fursan; Aljahdali, Asia; Alhomdy, Sharaf; AlKhzaimi, Hoda

doi:10.1080/01969722.2023.2175117

Cited by 6 publications

(3 citation statements)

References 71 publications

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“…Various studies and research efforts have been carried out to explore and enhance the performance and safety of cryptographic algorithms in cloud computing environments. Several studies have investigated security in cloud computing and Internet of Things (IoT) [1,[8][9][10][11][12]. In [13], a proposal was presented to improve the AES algorithm to better address emerging privacy threats in the cloud.…”

Section: Literature Reviewmentioning

confidence: 99%

Advancing Cloud Image Security via AES Algorithm Enhancement Techniques

Mohammed,

Gheni,

Hussein

et al. 2024

Eng. Technol. Appl. Sci. Res.

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Communication system and internet dominance in our society, has made image security a matter of paramount concern. Cryptography involves encrypting data to protect information exchange between senders and receivers, establishing a foundation for secure communication. The Advanced Encryption Standard (AES) is an exceptional algorithm that plays a pivotal role in this area because of its ability to consistently transform plain data into cipher data using the same encryption key. This algorithm engages intricate encryption techniques, harnessing a variety of algorithms and transformations to ensure robust data security. This study introduces an image encryption technique to comprehensively address security requirements. The proposed method uses the AES algorithm to provide high reliability and unparalleled safety, effectively protecting precious images against any form of malicious attack. The sender's image is intelligently fragmented into multiple pieces to maximize data confidentiality, employing a sophisticated algorithm. Upon decryption by the intended recipient, these fragments seamlessly merge to reconstruct the original image. The suggested technique allows users to securely store their data in the cloud, mitigating concerns related to potential data leakage, damage, or corruption. Thus, by integrating a cloud-based storage system, and utilizing digital signatures through OpenSSL, this method guarantees airtight security and reliability for sensitive data.

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Section: Literature Reviewmentioning

confidence: 99%

Advancing Cloud Image Security via AES Algorithm Enhancement Techniques

Mohammed,

Gheni,

Hussein

et al. 2024

Eng. Technol. Appl. Sci. Res.

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“…The authors 41,42 introduce a privacy-preserving Cloud-IoT architecture but note its added user load. Aboubakar et al 7 address security flaws in a multi-server cloud environment with a smartcard-based authentication scheme, relevant in a dispersed cloud context.…”

Section: Related Workmentioning

confidence: 99%

Cryptography algorithms for improving the security of cloud‐based internet of things

Qasem,

Thabit,

Can

et al. 2024

Security and Privacy

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In today's fast‐paced society, the Internet of Things (IoT) is revolutionizing businesses by bridging the gap between the digital and physical realms. This transformative technology enables rapid changes in the way people conduct business. Its fundamental aim is to connect everything in our world—objects, individuals, locations, and processes—under a unified infrastructure, providing valuable information and control over the state of our environment. The IoT represents a novel approach to developing diverse and distributed systems, which have now evolved into a pervasive computing cloud infrastructure. However, due to limitations in computing power and storage resources dedicated to handling the vast amounts of IoT data, a cloud‐based architecture is often employed in the IoT realm. Unfortunately, this shift has introduced a range of complex security and trust concerns within the cloud‐based IoT environment. As the demand for widespread deployment of cloud‐based IoT continues to soar, significant security‐related threats have emerged, prompting numerous researchers to develop cryptographic algorithms aimed at enhancing the security of both the Cloud and IoT. This paper provides an overview of cloud‐based IoT technology and seeks to fulfill the primary objective of conducting a survey on encryption algorithms in the context of the cloud and IoT. The research delves into the strategies, challenges, and variations associated with encryption in cloud and IoT systems. Additionally, this work includes a comparative analysis of the computational complexity of these techniques.

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“…Cryptography is the practice of converting plain text into a coded message to protect it from unauthorized access or tampering. It plays a crucial role in securing communication channels and protecting sensitive information, such as financial transactions, personal information, and state secrets [3], [4]. Cryptography is widely used in various applications, including online banking, e-commerce, secure communication between individuals and organizations, and in the protection of critical infrastructure systems [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Flexible and Parallel Architectures for Optimal Ate pairing on FPGA

Oussama

Akil

Koudil

et al. 2022

Preprint

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This paper presents three approaches for the implementation of Optimal Ate pairing based on Jacobean coordinates, over Barreto-Naehrig curves, targeting the 128 bits security level, in Genesys board. The first approach is a fully software implementation using MicroBlaze processor. The second approach is software/hardware implementation, in which the most useful operations in \({\varvec{F}}_{\varvec{p}}\) and \({\varvec{F}}_{{\varvec{p}}^{2}}\) are coded as intellectual property cores around the Microblaze. The third approach is based on the second in which we exploit the parallelism that exists to compute Optimal Ate pairing. The integration of multi-MicroBlaze processor in single architecture allows not only the flexibility of the overall system but also the parallelism to speed up pairing. Various techniques and parameters are used and combined to compute Optimal Ate in efficient way, namely: Montgomery modular multiplication, Karatsuba method, Jacobean coordinate, Complex method for squaring, Sparse multiplication, squaring in the cyclotomic subgroup \({\varvec{G}}_{\varvec{\varphi }6}\left({\varvec{F}}_{{\varvec{p}}^{12}}\right)\) and addition chain method. Our flexible and parallel systems are dedicated for restricted environment resources with a reasonable execution time.

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A Comprehensive Literature of Genetics Cryptographic Algorithms for Data Security in Cloud Computing

Cited by 6 publications

References 71 publications

Advancing Cloud Image Security via AES Algorithm Enhancement Techniques

Advancing Cloud Image Security via AES Algorithm Enhancement Techniques

Cryptography algorithms for improving the security of cloud‐based internet of things

Flexible and Parallel Architectures for Optimal Ate pairing on FPGA

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