Flexible, Secure, and Reliable Data Sharing Service Based on Collaboration in Multicloud Environment

Wei, Qiang; Shao, Huaibin; Zhang, Gongxuan

doi:10.1155/2018/5634561

Cited by 4 publications

(5 citation statements)

References 39 publications

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“…We implemented a prototype of the model and analyzed the results with Ubuntu 16.04 1 on Oracle VM Virtual-Box 5.1.20 2 . Python 3 2.7.3 has been used for the implementation of the encryption algorithms.…”

Section: Methodsmentioning

confidence: 99%

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Secure Cloud Data Storage System using Hybrid Paillier-Blowfish Algorithm

Seth¹,

Dalal²,

Le³

et al. 2021

Computers, Materials &Amp; Continua

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Cloud computing utilizes enormous clusters of serviceable and manageable resources that can be virtually and dynamically recon gured in order to deliver optimum resource utilization by exploiting the pay-per-use model. However, concerns around security have been an impediment in the extensive adoption of the cloud computing model. In this regard, advancements in cryptography, accelerated by the wide usage of the internet worldwide, has emerged as a key area in addressing some of these security concerns. In this document, a hybrid cryptographic protocol deploying Blow sh and Paillier encryption algorithms has been presented and its strength compared with the existing hybrid Advanced Encryption Standard (AES) and Rivest Shamir Adleman (RSA) techniques. Algorithms for secure data storage protocol in two phases have been presented. The proposed hybrid protocol endeavors to improve the power of cloud storage through a decrease in computation time and ciphertext size. Simulations have been carried out with Oracle Virtual Box and Fog server used on an Ubuntu 16.04 platform. This grouping of asymmetric and homomorphic procedures has demonstrated enhanced security. Compression usage has helped in decreasing the storage space and computation time. Performance analysis in terms of computation overhead and quality of service parameters like loads of parameters with and without attacks, throughput, and stream length for different modes of block cipher mode has been carried out. Security analysis has been carried out by utilizing the Hardening Index as an audit parameter using Lynis 2.7.1. Similarly, for halting the aforementioned approaches and for regulating traf c, rewall protection has been generated in the chosen hybrid algorithms. Finally, enhancements in the performance of the Paillier and Blow sh hybrid scheme with and without compression

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Section: Methodsmentioning

confidence: 99%

“…Besides these, factors like authentication, authorization, audit are also important (see Fig. 1) [1][2][3].…”

Section: Cryptographic Primermentioning

confidence: 99%

Secure Cloud Data Storage System using Hybrid Paillier-Blowfish Algorithm

Seth¹,

Dalal²,

Le³

et al. 2021

Computers, Materials &Amp; Continua

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show abstract

“…An erasure correcting code has been employed in order to support reliable data storage to withstand multiple failures among CSPs. 26,27 A performance evaluation of the proposed large universe ciphertext and attribute-based encryption outsourcing scheme encompassing two hardware platforms such as Intel and ARM was undertaken and the employment of a key encapsulation variant was deliberated upon. 28 The safety investigation and performance assessment proved the planned method to be safe and proficient.…”

Section: Related Workmentioning

confidence: 99%

“…For the proposed multicloud environment, verification, and authentication of data exchange is done using a cryptographic protocol. An erasure correcting code has been employed in order to support reliable data storage to withstand multiple failures among CSPs 26,27 …”

Section: Introductionmentioning

confidence: 99%

Integrating encryption techniques for secure data storage in the cloud

Seth

Dalal

Jaglan

et al. 2020

Trans Emerging Tel Tech

104

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Cloud computing has emerged as one of the most groundbreaking technologies to have redefined the bounds of conventional computing techniques. It has ushered in a paradigm shift and pushed the frontiers of how computing assets, inclusive of infrastructure resources, software, and applications can be used, adopted, and purchased. The economic benefits or rather the fundamental economic shift offered by cloud computing in reducing capital expenditure and converting it to operational expenditure has been a primary motivating factor for early adopters. However, despite its inherent advantages that include better access and control, there exist several reservations around cloud computing that have impeded its growth. The control, elasticity, and ease of use that cloud computing is associated with also engender many security issues. Security is considered to be the topmost hurdle out of the nine identified challenges of cloud computing as underlined by the study conducted by the International Data Corporation. It therefore follows that an exceedingly secure system is essential for the safeguarding of an organizational entity, its resources, and assets. In this article, it is our endeavor to offer insights into the implementation of a novel architecture that can deliver an enhanced degree of security for outsourcing information in a cloud computing environment while involving numerous independent cloud providers. The framework comprises of dual encryption and data fragmentation techniques that envision the secure distribution of information in a multicloud environment. The various concerns surrounding this area, specifically, the challenges of integrity, security, confidentiality, and authentication have been addressed. All simulations and scrutiny have been accomplished on an Oracle virtual machine Virtual‐Box and a Fog environment on an Ubuntu 16.04 platform. Extensive safety measures and performance analysis that take into account diverse parameters, especially execution time, integrity, throughput, entropy, transfer rate, and delay demonstrate that our projected proposal is vastly proficient and satisfies the security prerequisites of secure data sharing and can efficiently withstand security attacks.

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“…have been proposed. However, on the other hand, whether in the stage of data collection or application, people can access the required multimedia resources more easily than before, which will pose a serious threat to the privacy and copyright protection of those multimedia resources [9]. Privacy protection and authentication technologies can be divided into two categories.…”

Section: Introductionmentioning

confidence: 99%

A Robust Image Watermarking Approach Using Cycle Variational Autoencoder

Wei

Zhang

2020

Security and Communication Networks

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With the rapid development of Internet and cloud storage, data security sharing and copyright protection are becoming more and more important. In this paper, we introduce a robust image watermarking algorithm for copyright protection based on variational autoencoder networks. The proposed image watermarking embedding and extracting network consists of three parts: encoder subnetwork, decoder subnetwork, and detector subnetwork. In the training process, the encoder and decoder subnetworks learn a robust image representation model and further implement the embedding of 1-bit watermark image to the cover image. Meanwhile, the detector subnetwork learns to extract the 1-bit watermark image from the embedding image. Experimental results demonstrate that the watermarked images generated by the proposed algorithm have better visual effects and are more robust against geometric and noise attacks than traditional approaches in the transform domain.

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Flexible, Secure, and Reliable Data Sharing Service Based on Collaboration in Multicloud Environment

Cited by 4 publications

References 39 publications

Secure Cloud Data Storage System using Hybrid Paillier-Blowfish Algorithm

Secure Cloud Data Storage System using Hybrid Paillier-Blowfish Algorithm

Integrating encryption techniques for secure data storage in the cloud

A Robust Image Watermarking Approach Using Cycle Variational Autoencoder

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