摘要
针对云计算密文检索方案的效率问题,提出了基于分块的移动边缘计算密文检索方案。首先,引入了边缘服务器计算文档相似性得分,从而减少了云服务器的计算开销,提升了云服务器的处理效率;其次,在MRSE方案基础上通过分块方法过滤掉大部分与查询无关的关键词,从而提高了计算文档相似性得分的效率。理论分析和实验结果表明,所提方案在已知背景威胁模型下是安全的,与现有方案相比,所提方案在具有相同安全性的同时具有更高的检索效率。
Aiming at the efficiency of cloud computing ciphertext retrieval scheme,a method of ciphertext retrieval in mobile edge computing based on block segmentations was proposed.Firstly,the edge server was introduced to calculate the document similarity score,thereby the computational cost of cloud server was reduced and the processing efficiency of cloud server was improved.Secondly,most keywords that are not related to the query were filtered out by a method of block segmentations based on the MRSE scheme,thereby the efficiency of calculating the document similarity score was improved.Theoretical analysis and experimental results show that the solution is safe under the known background threat model.Compared with the existing scheme,the proposed scheme has the same security and higher retrieval efficiency.
作者
王娜
郑坤
付俊松
李剑
WANG Na;ZHENG Kun;FU Junsong;LI Jian(School of Computer,Beijing University of Posts and Telecommunications,Beijing 100876,China;School of Cyberspace Security,Beijing University of Posts and Telecommunications,Beijing 100876,China)
出处
《通信学报》
EI
CSCD
北大核心
2020年第7期95-102,共8页
Journal on Communications
基金
北京市自然科学基金资助项目(No.4204107)。
关键词
云计算
移动边缘计算
密文检索
隐私保护
cloud computing
mobile edge computing
ciphertext retrieval
privacy protection
