Feasibility study on security deduplication of medical cloud privacy data
作者: Huiqi ZhaoLexia WangYinglong WangMinglei ShuJimin Liu
作者单位: 1Department of Information Engineering, Shandong University of Science and Technology
2Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences)
刊名: EURASIP Journal on Wireless Communications and Networking, 2018, Vol.2018 (1), pp.1-15
来源数据库: Springer Nature Journal
DOI: 10.1186/s13638-018-1192-4
关键词: Medical cloudConvergence encryptionFuzzy keyword searchDeduplicationIdentity tokenMessage authentication code(MAC)
英文摘要: Abstract(#br)In view of the problem of resource waste caused by the repeated storage of medical data, our scheme proposes that convergent encryption is applied to the medical cloud, and the hash value of the convergent key is used as a repeat detection label and Bloom filter search to achieve the efficiency of the medical cloud, and the practicality of medical data is improved by introducing fuzzy keywords searching, ensuring the safe storage and correctness of medical data through local validation. At the same time, based on the actual application of different medical data, we use the authorization access method of identity token to realize the multi role access of medical cloud.
全文获取路径: Springer Nature  (合作)