通信学报 ›› 2020, Vol. 41 ›› Issue (7): 95-102.doi: 10.11959/j.issn.1000-436x.2020142

• 学术论文 • 上一篇    下一篇

基于分块的移动边缘计算密文检索方法

王娜1,郑坤1,付俊松2(),李剑1   

  1. 1 北京邮电大学计算机学院,北京 100876
    2 北京邮电大学网络安全学院,北京 100876
  • 修回日期:2020-06-11 出版日期:2020-07-25 发布日期:2020-08-01
  • 作者简介:王娜(1988- ),女,湖南衡阳人,北京邮电大学在站博士后,主要研究方向为密码算法及安全协议、物联网安全、云计算安全、大数据隐私保护、移动互联网安全等|郑坤(1996- ),男,辽宁葫芦岛人,北京邮电大学硕士生,主要研究方向为移动边缘计算安全、雾计算与云计算安全、大数据隐私保护、可信计算等|付俊松(1989- ),男,河北唐山人,博士,北京邮电大学助理教授,主要研究方向为云计算、分布式网络安全、信息检索、隐私保护、软件安全等|李剑(1976- ),男,陕西西安人,博士,北京邮电大学教授,主要研究方向为智能网络安全、量子密码学、移动通信安全、物联网安全等
  • 基金资助:
    北京市自然科学基金资助项目(4204107)

Method of ciphertext retrieval in mobile edge computing based on block segmentation

Na WANG1,Kun ZHENG1,Junsong FU2(),Jian LI1   

  1. 1 School of Computer,Beijing University of Posts and Telecommunications,Beijing 100876,China
    2 School of Cyberspace Security,Beijing University of Posts and Telecommunications,Beijing 100876,China
  • Revised:2020-06-11 Online:2020-07-25 Published:2020-08-01
  • Supported by:
    The Natural Science Foundation of Beijing(4204107)

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。

关键词: 云计算, 移动边缘计算, 密文检索, 隐私保护

Abstract:

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.

Key words: cloud computing, mobile edge computing, ciphertext retrieval, privacy protection

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