PCPHE: A privacy comparison protocol for vulnerability detection based on homomorphic encryption

IF 3.8 2区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Lieyu Lv, Ling Xiong, Fagen Li
{"title":"PCPHE: A privacy comparison protocol for vulnerability detection based on homomorphic encryption","authors":"Lieyu Lv,&nbsp;Ling Xiong,&nbsp;Fagen Li","doi":"10.1016/j.jisa.2024.103805","DOIUrl":null,"url":null,"abstract":"<div><p>Nowadays, many security service providers have their own vulnerability databases and consider them as corporate property. How to ensure the normal use of client while protecting the privacy of these assets has become a problem that needs to be solved. This paper mainly introduces a privacy comparison protocol based on BGN and a version number standardization method, which can be used in scenarios of vulnerability database privacy comparison. Our scheme PCPHE adds random offsets and special preprocessing to avoid common factor attacks that may occur in privacy comparison, while ensuring that client does not know the specific vulnerability database content of the security service provider in a limited number of queries.</p></div>","PeriodicalId":48638,"journal":{"name":"Journal of Information Security and Applications","volume":"84 ","pages":"Article 103805"},"PeriodicalIF":3.8000,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Security and Applications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221421262400108X","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Nowadays, many security service providers have their own vulnerability databases and consider them as corporate property. How to ensure the normal use of client while protecting the privacy of these assets has become a problem that needs to be solved. This paper mainly introduces a privacy comparison protocol based on BGN and a version number standardization method, which can be used in scenarios of vulnerability database privacy comparison. Our scheme PCPHE adds random offsets and special preprocessing to avoid common factor attacks that may occur in privacy comparison, while ensuring that client does not know the specific vulnerability database content of the security service provider in a limited number of queries.

PCPHE:基于同态加密的漏洞检测隐私比较协议
如今,许多安全服务提供商都拥有自己的漏洞数据库,并将其视为企业财产。如何在保证客户端正常使用的同时保护这些资产的隐私,成为一个亟待解决的问题。本文主要介绍一种基于 BGN 的隐私比对协议和版本号标准化方法,可用于漏洞数据库隐私比对的场景。我们的方案 PCPHE 增加了随机偏移和特殊预处理,避免了隐私比对中可能出现的公共因子攻击,同时确保客户端在有限的查询次数中不知道安全服务提供商的具体漏洞数据库内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Information Security and Applications
Journal of Information Security and Applications Computer Science-Computer Networks and Communications
CiteScore
10.90
自引率
5.40%
发文量
206
审稿时长
56 days
期刊介绍: Journal of Information Security and Applications (JISA) focuses on the original research and practice-driven applications with relevance to information security and applications. JISA provides a common linkage between a vibrant scientific and research community and industry professionals by offering a clear view on modern problems and challenges in information security, as well as identifying promising scientific and "best-practice" solutions. JISA issues offer a balance between original research work and innovative industrial approaches by internationally renowned information security experts and researchers.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信