Light Weight Proactive Padding Based Crypto Security System in Distributed Cloud Environment

Indira, N.; Rukmanidevi, S.; Kalpana, A. V.

doi:10.2991/ijcis.d.200110.001

Cited by 18 publications

(2 citation statements)

References 14 publications

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“…The prime factors and keys have been iterated many times and are suited for any given time range. The previously proposed LPP‐CS method increases cloud data security performance while requiring less time 72 …”

Section: Cryptographic Techniques In Cloud Computingmentioning

confidence: 99%

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Data security techniques in cloud computing based on machine learning algorithms and cryptographic algorithms: Lightweight algorithms and genetics algorithms

Thabit

Can

Wani

et al. 2023

Concurrency and Computation

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SummaryCloud computing (CC) refers to the on‐demand availability of network resources, particularly data storage and processing power, without requiring special or direct administration by users. CC, which just made its debut as a collection of public and private data centers, provides clients with a unified platform throughout the Internet. Cloud computing has revolutionized the world, opening up new horizons with bright potential due to its performance, accessibility, low cost, and many other benefits. Due to the exponential rise of cloud computing, systems based on cloud computing now require an effective data security mechanism. Comprehensive security policies, corporate security culture, and cloud security solutions are used to ensure the level of cloud data security. Many techniques exist to protect data communication in the cloud environment, including encryption. Encryption algorithms play an important role in information security systems and various cloud computing‐based systems. Current researchers have focused on lightweight cryptography, genetics‐based cryptography, and machine learning (ML) algorithms for security in CC. This review study analyses CC security threats, problems, and solutions that use one or more algorithms. The work discusses several lightweight cryptographies, genetics‐based cryptography and different ML algorithms that are used to overcome cloud security issues, including supervised, unsupervised, semi‐supervised, and reinforcement learning. Moreover, we enlist future research directions to secure CC models.

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Section: Cryptographic Techniques In Cloud Computingmentioning

confidence: 99%

“…72 Lubna et al (2018) offered a SHSED (simple and highly secure encryption-decryption) method for cloud computing applications. It is based on the Lai and Massey-developed international data encryption algorithm (IDEA)(1991).…”

mentioning

confidence: 99%

Data security techniques in cloud computing based on machine learning algorithms and cryptographic algorithms: Lightweight algorithms and genetics algorithms

Thabit

Can

Wani

et al. 2023

Concurrency and Computation

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PRC6: Hybrid lightweight cipher for enhanced cloud data security in parallel environment

Mohammed,

Hussein

2024

Security and Privacy

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Modern technologies of computing cloud are showing great promise, but at the same time create new security challenges that hinder full acceptance. Given that most of these services often use cloud networks as channels for communication, securing data transmission is crucial. This paper introduce a new hybrid encryption algorithm, the proposed two‐layered PRC6 cipher, tailored address security concerns in cloud computing environments with minimal resource constraints. The PRC6 cipher incorporates enhancements from Cha‐cha into an extension of the RC6 cipher. PRC6 implements double encryption. At the first level, the plain text is divided into four equal parts, each encrypted by processes derived from RC6, which include shifting, summation, modulo arithmetic, and XOR with a generated key. The second level incorporates a Quarter round function, among others, to further obscure the encoded message. PRC6 is implemented in a parallel computing model to significantly reduce overall computation time, especially important for lightweight applications. Experimental results show that the algorithm can achieve a high level of security for cloud workloads. It activates parallel mode in just seven encryption rounds, cutting calculation time to 50% in a matter of seconds. Performance evaluations against popular encryption standards also indicate that PRC6 offers promising security benefits when computational resources are limited. This hybrid approach presents a viable solution for strengthening data protection in modern cloud systems and it stand against the most popular attacks like brute force.

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Change Point Detection Technique for Weather Forecasting Using Bi-LSTM and 1D-CNN Algorithm

Selvi¹,

Nivetha²,

Divya³

et al. 2021

Lecture Notes in Networks and Systems

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Light Weight Proactive Padding Based Crypto Security System in Distributed Cloud Environment

Cited by 18 publications

References 14 publications

Data security techniques in cloud computing based on machine learning algorithms and cryptographic algorithms: Lightweight algorithms and genetics algorithms

Data security techniques in cloud computing based on machine learning algorithms and cryptographic algorithms: Lightweight algorithms and genetics algorithms

PRC6: Hybrid lightweight cipher for enhanced cloud data security in parallel environment

Change Point Detection Technique for Weather Forecasting Using Bi-LSTM and 1D-CNN Algorithm

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