Research on Task Scheduling Convergence Non-Dominated Sorting Method in Cloud Computing

Liang, Huang; Zheng, Jun; Guo-lv, Tan

doi:10.14257/ijgdc.2015.8.1.22

Cited by 1 publication

(1 citation statement)

References 8 publications

(7 reference statements)

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“…If the attacker gets all these encrypted data, he cannot decrypt and get the original plaintext data between the client and the server. This also makes sure that even the processor cannot access the information of the data [30]. The algorithms begin with initialization and outputs from the central authentication center the pair of public and key keys, the master key of the center, the public key of the system, and the common parameters.…”

Section: Medical Data Privacy Protection Schemementioning

confidence: 99%

A Medical Data Privacy Protection Scheme Based on Blockchain and Cloud Computing

Liang

Lee

2020

Wireless Communications and Mobile Computing

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With the features of decentralization and trustlessness and through distributed data storage, point-to-point transmission, and encryption algorithms, blockchain has shed new light on the security and protection of medical data, and it can resolve the contradiction between data sharing and privacy protection with proper security strategies. In this paper, we integrate the strengths of both blockchain and cloud computing and build the privacy protection scheme for medical data based on blockchain and cloud computing. This scheme introduces cloud computing and provides services to blockchain nodes with cloud server computing; meanwhile, it collects, analyzes, processes, and maintains medical data in the identity authentication interface and solves the insufficient computing abilities of some nodes in blockchain so as to verify the authenticity and reliability of data. The simulation experiment proves that the proposed scheme is effective. It can achieve the secure protection and integrity verification of medical data and address the problems of high computing complexity, data sharing, and privacy protection.

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Section: Medical Data Privacy Protection Schemementioning

confidence: 99%