Secure and Efficient Product Information Retrieval in Cloud Computing

被引:1
作者
Zhao, Ying-Si [1 ]
Zeng, Qing-An [2 ]
机构
[1] Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
[2] North Carolina A&T State Univ, Dept Comp Syst Technol, Greensboro, NC 27411 USA
来源
IEEE ACCESS | 2018年 / 6卷
关键词
Product information retrieval; cloud computing; information security; PUBLIC-KEY ENCRYPTION; CONJUNCTIVE KEYWORD SEARCH; BIG DATA; PRIVACY;
D O I
10.1109/ACCESS.2018.2816919
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cloud computing is a promising information technique (IT) that can organize a large amount of IT resources in an efficient and flexible manner. Increasingly numerous companies plan to move their local data management systems to the cloud and store and manage their product information on cloud servers. An accompanying challenge is how to protect the security of the commercially confidential data, while maintaining the ability to search the data. In this paper, a privacy-preserving data search scheme is proposed, that can support both the identifier-based and feature-based product searches. Specifically, two novel index trees are constructed and encrypted, that can be searched without knowing the plaintext data. Analysis and simulation results demonstrate the security and efficiency of our scheme.
引用
收藏
页码:14747 / 14754
页数:8
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