arrow
返回

Efficient request-based comparable encryption scheme based on sliding window method

delete2015-07-18
delete6
PRE
AI
陈朋 封面图
陈朋 (Peng Chen)
叶俊 封面图
叶俊 (Jun Ye)
X
Xiaofeng Chen *
DOI:10.1007/s00500-015-1766-6delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
In this paper, we present an efficient request-based comparable encryption, which is based on sliding window techniques. Recently, Furukawa (Computer security-ESORICS 2013, Springer, 129-146, 2013) introduced a new primitive called request-based comparable encryption (comparable encryption for short) which overcomes the problem that OPEs cannot solve. OPEs have the problem that when all the numbers in a certain domain are encrypted by an OPE, an attacker can easily obtain all the orders of the encrypted numbers and hence retrieve the original numbers. However, comparable encryption is not efficient enough both in storage and in computation workload. Comparable encryption based on sliding window method Ko double dagger in Comput Math Appl 30:17-24, 1995 can adaptively adjust the window size to achieve a high performance. We set the window size as a constant number to conveniently generate ciphertexts and compare with others. Besides, the proposed scheme allows the users to obtain a variable trade-off between security and efficiency through adaptively setting the window size.
Keyword:
Comparable encryption
Sliding window method
Security
Efficiency
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Soft Computing 封面图
Soft Computing
IF:
2.5
论文数:
1.0W
被引数:
2.1W

机构

X
Xidian University
学者数:
2.4W
论文数: 1.9W
被引数: 9.7K
引用论文

引用论文

Unveiling the Mysteries of Dyslexia—Lessons Learned from the Prospective Jyväskylä Longitudinal Study of Dyslexia
err2021-03-27
err0
errOAAI
errKaisa Lohvansuu; Minna Torppa; Timo Ahonen; Kenneth Eklund; Jarmo A. Hämäläinen; Paavo H. T. Leppänen; Heikki Lyytinen
err分享
err收藏
Frequency of Screening and SBT Technique Trial - North American Weaning Collaboration (FAST-NAWC): a protocol for a multicenter, factorial randomized trial
err2019-10-11
err0
errOAAI
errK. E. A. Burns; Leena Rizvi; Deborah J. Cook; Andrew J. E. Seely; Bram Rochwerg; Francois Lamontagne; John W. Devlin; Peter Dodek; Michael Mayette; Maged Tanios; Audrey Gouskos; Phyllis Kay; Susan Mitchell; Kenneth C. Kiedrowski; Nicholas S. Hill
err分享
err收藏
err分享
err收藏
学者 查看更多内容