A Framework to Secure Medical Image Storage in Cloud Computing Environment

Marwan, Mbarek; Kartit, Ali; Ouahmane, Hassan

doi:10.4018/jeco.2018010101

Cited by 23 publications

(7 citation statements)

References 20 publications

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“…Data layer, network layer, consensus layer, access control layer and application layer are the main framework structure. Through the analysis of the practical results, it is verified that the scheme realizes safe and reliable storage and sharing on the premise of effectively protecting the medical treatment and privacy of patients issue [1].…”

Section: Introductionmentioning

confidence: 89%

Research on blockchain construction in medical data privacy protection

Li¹

2023

Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022)

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At the present stage, the informatization and intellectualization of the medical industry have greatly increased people's attention and developed medical informatization, but there are still problems such as inconsistent data and ineffective protection of patients' privacy. In terms of privacy protection of medical data storage and sharing, this paper first uses CiteSpace visual knowledge map analysis to learn the current research hotspots in the field of medical informatization. This paper is to the problems of access barriers and information sharing and circulation among medical institutions, and protect patients' privacy data. Therefore, this paper designs a medical data privacy protection scheme based on the blockchain technology. Through the analysis of the practice results, it is verified that this scheme can achieve safe and reliable storage and sharing under the premise of effective protection of the patient's medical data privacy.

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Section: Introductionmentioning

confidence: 89%

Research on blockchain construction in medical data privacy protection

Li¹

2023

Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022)

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“…e integrity of the outsourced clients' data helps to verify watermarking technique. Any accidental change to outsourced clients' data can be detected by the digital signature and watermarking methods [24].…”

Section: Literature Reviewmentioning

confidence: 99%

Secure Framework Enhancing AES Algorithm in Cloud Computing

Awan

Shiraz

Hashmi

et al. 2020

Security and Communication Networks

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The tremendous growth of computational clouds has attracted and enabled intensive computation on resource-constrained client devices. Predominantly, smart mobiles are enabled to deploy data and computational intensive applications by leveraging on the demand service model of remote data centres. However, outsourcing personal and confidential data to the remote data servers is challenging for the reason of new issues involved in data privacy and security. Therefore, the traditional advanced encryption standard (AES) algorithm needs to be enhanced in order to cope with the emerging security threats in the cloud environment. This research presents a framework with key features including enhanced security and owner’s data privacy. It modifies the 128 AES algorithm to increase the speed of the encryption process, 1000 blocks per second, by the double round key feature. However, traditionally, there is a single round key with 800 blocks per second. The proposed algorithm involves less power consumption, better load balancing, and enhanced trust and resource management on the network. The proposed framework includes deployment of AES with 16, 32, 64, and 128 plain text bytes. Simulation results are visualized in a way that depicts suitability of the algorithm while achieving particular quality attributes. Results show that the proposed framework minimizes energy consumption by 14.43%, network usage by 11.53%, and delay by 15.67%. Hence, the proposed framework enhances security, minimizes resource utilization, and reduces delay while deploying services of computational clouds.

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“…In mobile cloud computing environment, data processing and data storage can be migrated into the cloud servers. For the maintenance of images, cloud storage is an example [40], [41]. Cloud servers also have been introduced to image watermarking application [42].…”

Section: Secure Data On Cloudmentioning

confidence: 99%

A Digital Watermarking Encryption Technique Based on FPGA Cloud Accelerator

2020

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Digital watermarking has the properties such as invisibility and anti-aggression, so the digital watermarking technology has been widely used in copyright protection, information hiding. The watermarking technology takes into account the invisibility and robustness of the watermark by controlling the embedding intensity and position of the watermark mainly in the transformation domain. In this paper, discrete cosine transform (DCT) is adopted to transform the given image from spatial domain to frequency domain for adding watermark information. In order to meet the demands of image watermarking batch processing and cloud processing in the future, this paper optimized the DCT algorithm and the data precision, and successfully deployed the designed accelerator kernel on the FPGA cloud platform to speed up the processing of watermarking. The implementation of data processing based on cloud platform is the development trend of big data era. The cloud platform adopted in this paper is based on the OpenCL heterogeneous architecture combining CPU and FPGA. The cloud-based implementation makes digital watermarking application highly extensible, widely shareable, and more secure. The whole system implements a series of complete cloud processes including image decoding, image preprocessing, watermark embedding, and watermarked image encoding. The watermarking algorithm is accelerated by the efficient parallel computing capabilities of FPGA. It can be seen that the result of acceleration is remarkable, providing the state-of-the-art throughput of 1.676 GBps and the highest processing speed of 937 FPS for 800 × 800 sized colorimage. INDEX TERMS Cloud services, parallel operation, integer DCT, data encryption and watermarking, heterogeneous architecture.

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A Framework to Secure Medical Image Storage in Cloud Computing Environment

Cited by 23 publications

References 20 publications

Research on blockchain construction in medical data privacy protection

Research on blockchain construction in medical data privacy protection

Secure Framework Enhancing AES Algorithm in Cloud Computing

A Digital Watermarking Encryption Technique Based on FPGA Cloud Accelerator

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