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首页 > 过刊浏览>2017年第9卷第5期 >462-471. DOI:10.13878/j.cnki.jnuist.2017.05.002
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大数据环境下支持多关键字的可搜索公钥加密方案
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基金项目:

国家自然科学基金（61572370，61572379，61501333，U1536204）


A public key encryption with multiple keywords scheme for big data
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    摘要:

    云计算为大数据提供了强大的数据处理平台，而数据的安全和隐私问题也引起了人们的高度关注.本文提出了一个新的大数据环境下支持多关键字的无需安全信道的无证书可搜索公钥加密方案，并且证明了在随机预言机模型下，本文方案能够抵抗关键字猜测攻击.同时，效率分析表明，与Peng等方案相比，本文方案降低了计算代价和通信代价.

    Abstract:

    The continuous improvement of information technology will inevitably promote the arrival of the era of big data.Cloud computing provides a powerful data processing platform for big data.However,data security and privacy issues have aroused great concern.In this paper,we propose a new certificateless public key encryption scheme with multiple keywords search and free of secure channel for big data.We also prove that the proposed scheme can resist chosen keyword attack in random oracle model.The performance analysis shows that,the proposed scheme reduces the computation cost as well as the communication cost compared with the scheme proposed by Peng et al.in 2014.

    参考文献
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引用本文

马米米,何德彪,陈建华,刘芹.大数据环境下支持多关键字的可搜索公钥加密方案[J].南京信息工程大学学报(自然科学版),2017,9(5):462-471
MA Mimi, HE Debiao, CHEN Jianhua, LIU Qin. A public key encryption with multiple keywords scheme for big data[J]. Journal of Nanjing University of Information Science & Technology, 2017,9(5):462-471

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  • 收稿日期:2017-05-31
  • 在线发布日期: 2017-09-14

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