A KP-ABE Scheme with Outsourced Decryption

JIN Yun-xia; YANG He-kun; FENG Chao-sheng; LIU Shuai-nan; LI Hang; ZOU Li-ping; WAN Guo-gen

doi:10.3969/j.issn.0372-2112.2020.03.020

您当前的位置：

首页 >

文章列表页 >

A KP-ABE Scheme with Outsourced Decryption

更新时间：2025-07-16

- A KP-ABE Scheme with Outsourced Decryption
- Acta Electronica Sinica Vol. 48, Issue 3, Pages: 561-567(2020)
- 作者机构：
  
  1. 四川师范大学计算机科学学院,四川,成都,610101
  2. 电子科技大学网络与数据安全四川省重点实验室,四川,成都,610054
  3. 成都信息工程大学网络空间安全学院,四川,成都,610225
  4. 四川师范大学计算机科学学院,四川,成都,610101
  5. 电子科技大学网络与数据安全四川省重点实验室,四川,成都,610054
  6. 成都信息工程大学网络空间安全学院,四川,成都,610225
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2020.03.020
  CLC： TP309
- Published Online：25 March 2020，
  
  Published：2020
- 稿件说明：
移动端阅览
JIN Yun-xia, YANG He-kun, FENG Chao-sheng, et al. A KP-ABE Scheme with Outsourced Decryption[J]. Acta Electronica Sinica, 2020, 48(3): 561-567.
DOI：

JIN Yun-xia, YANG He-kun, FENG Chao-sheng, et al. A KP-ABE Scheme with Outsourced Decryption[J]. Acta Electronica Sinica, 2020, 48(3): 561-567. DOI： 10.3969/j.issn.0372-2112.2020.03.020.

摘要

针对现有密钥策略基于属性加密KP-ABE（Key-Policy Attribute-Based Encryption）方案在解密时存在用户端计算开销大、解密时间长等问题，一些方案提出将解密外包给云服务器，但这些方案并未给出外包解密的并行化方法，存在解密效率低的问题.本文提出一种支持解密外包的KP-ABE方案.在该方案中，把大部分解密计算外包给Spark平台；并根据KP-ABE的解密特点设计并行化解密算法，完成对叶子节点和根节点的并行化解密.性能分析表明，用户端仅需进行一次指数运算即可解密出共享数据，同时并行化设计能有效提高云端解密速率.

Abstract

For most of the existing key-policy attribute-based encryption schemes

there are some problems in the decryption

such as the high cost of the client computing

long decryption time and high resource consumption. Some schemes propose outsourcing decryption to cloud servers. However

these schemes do not give the specific parallelization method of outsourcing decryption in cloud server

and there are problems of low efficiency of cloud decryption. To solve these problems

this paper presents a KP-ABE scheme for decryption outsourcing. In this scheme

most of decryption computation is outsourced to Spark platform; and according to the decryption characteristics of KP-ABE

a decryption parallelization algorithm is designed to complete the parallel decryption of leaf nodes and root nodes. The performance analysis shows that most of decryption computing is done by cloud servers and the client can decrypt the shared data by shared access tree with only once exponential operation

and the parallel design can effectively improve the cloud decryption rate.

关键词

Keywords

references

Views

146

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Adaptive Data Balanced Partitioner in Spark

A Strong Blind Quantum Signature Protocol Based on Secret Sharing

Game-Theoretic Analysis for the Secret Sharing Scheme

Related Author

HUANG Zhe-xue

WU Dong-tong

HE Yu-lin

HUANG Zhe-xue

WU Dong-tong

HE Yu-lin

TIAN Yuan

Related Institution

College of Computer Science and Software Engineering, Shenzhen University

Guangdong Laboratory of Artificial Intelligence and Digital Economy

Network Opinion Security Research Center，Beijing Jiaotong University

State Key Laboratory of Information Security（Graduate School of Chinese Academy of Sciences）

⁰