Cloud Storage Data Access Control Scheme Based on Blockchain and Attribute-Based Encryption

Yang, Xiaodong; Chen, Aijia; Wang, Zhisong; Li, Shudong

doi:10.1155/2022/2204832

Cited by 11 publications

(3 citation statements)

References 29 publications

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“…A vehicle-based secure blockchain consensus (VBSBC) algorithm is carried in [56] to enhance the efficiency of data storage, processing, and sharing on the internet of vehicles (IoV). A blockchain and smart contract technology is designed in [57] to core elements and ensured the data integrity with build a decentralized verification method. Blockchain-based fair as well as reliable searchable encryption system is proposed in [58].…”

Section: Related Workmentioning

confidence: 99%

Enhancing data security in cloud computing: a blockchain-based Feistel cipher encryption and multiclass vector side-channel attack detection approach

2024

IJATEE

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Cloud computing (CC) permits more users for storing as well as distributing their applications and data. CC continuously evolving technology that can improve agility, availability, collaboration, and scalability of data. It offers on-demand solution for different applications namely data storage, servers, databases, networking, and software. One of the most challenging issues in CC is detecting attacks. Parallel sponge-based authenticated encryptionwith sidechannel protection and adversary-invisible nonces (PSASPIN) to sponge construction was designed [1]. Moreover, leveled implementation has also utilized in implementing key generation via pseudo random function (PRF). Next, data preprocessing has utilized to minimize the code size. Finally, security proof has ensured using game theory and therefore processing shorter messages significantly. The authenticated encryption (AE) schemes such as security, performance, and efficiency are enhanced.*Author for correspondence Despite improvement found in terms of communication complexity and throughput were not focused.Side channel assault also utilizes physical data which leaks as of cryptographic tool. For avoiding from these attacks, divide-and-conquer approach is employed. Here, malicious user splits key into subkeys, endeavors for recuperating sub-keys distinctly as well as integrates them to create key. Reinforcement-strategy-based side-channel attack has designed in [2] with divide-and-conquer. Initially, the power leakage models are modified, and accuracy has improved. Next, the recovered sub-keys are integrated during the attack phase through validation therefore mitigating side-channel attacks significantly and improving the successful recovery rate. Though successful recovery rate has ensured but the detection time and accuracy have not focused. The disclosure of the cloud storage in the recent years carries enormous east to person life. Moreover, business establishments as well as organizations transmitted huge data for storage also. However, the data privacy

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Section: Related Workmentioning

confidence: 99%

Enhancing data security in cloud computing: a blockchain-based Feistel cipher encryption and multiclass vector side-channel attack detection approach

2024

IJATEE

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“…In formula (5), γ represents the common divisor parameter; p represents a random integer; and gcd represents the greatest common divisor. The three parameters obtained above will be set and saved as blockchain parameters.…”

Section: Blockchain Parameters and Public-private Key Pairsmentioning

confidence: 99%

“…Li et al [4] introduced a differential privacy model based on data perturbation and proposed a privacy protection algorithm to achieve personalized and unified privacy protection of user trajectory data. To minimize the dependence on servers in a cloud environment, Yang et al [5] proposed a decentralized secure cloud storage data access control scheme based on blockchain and attribute-based encryption (ABE). Protecting the privacy of shared information on social media platforms is a significant challenge.…”

Section: Introductionmentioning

confidence: 99%

Multi-Source Data Privacy Protection Method Based on Homomorphic Encryption and Blockchain

Xu¹,

Cao²

2023

Computer Modeling in Engineering &Amp; Sciences

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Multi-Source data plays an important role in the evolution of media convergence. Its fusion processing enables the further mining of data and utilization of data value and broadens the path for the sharing and dissemination of media data. However, it also faces serious problems in terms of protecting user and data privacy. Many privacy protection methods have been proposed to solve the problem of privacy leakage during the process of data sharing, but they suffer from two flaws: 1) the lack of algorithmic frameworks for specific scenarios such as dynamic datasets in the media domain; 2) the inability to solve the problem of the high computational complexity of ciphertext in multi-source data privacy protection, resulting in long encryption and decryption times. In this paper, we propose a multi-source data privacy protection method based on homomorphic encryption and blockchain technology, which solves the privacy protection problem of multi-source heterogeneous data in the dissemination of media and reduces ciphertext processing time. We deployed the proposed method on the Hyperledger platform for testing and compared it with the privacy protection schemes based on k-anonymity and differential privacy. The experimental results show that the key generation, encryption, and decryption times of the proposed method are lower than those in data privacy protection methods based on k-anonymity technology and differential privacy technology. This significantly reduces the processing time of multi-source data, which gives it potential for use in many applications.

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Blockchain-Based Cloud Computing: A Comparative Study of BoC, CoB, and MBC

Bentayeb,

Badir

2024

International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023)

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Cloud Storage Data Access Control Scheme Based on Blockchain and Attribute-Based Encryption

Cited by 11 publications

References 29 publications

Enhancing data security in cloud computing: a blockchain-based Feistel cipher encryption and multiclass vector side-channel attack detection approach

Enhancing data security in cloud computing: a blockchain-based Feistel cipher encryption and multiclass vector side-channel attack detection approach

Multi-Source Data Privacy Protection Method Based on Homomorphic Encryption and Blockchain

Blockchain-Based Cloud Computing: A Comparative Study of BoC, CoB, and MBC

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