SideAuto: quantitative information flow for side-channel leakage in web applications

Xujing Huang, P. Malacaria
{"title":"SideAuto: quantitative information flow for side-channel leakage in web applications","authors":"Xujing Huang, P. Malacaria","doi":"10.1145/2517840.2517869","DOIUrl":null,"url":null,"abstract":"Communication between the client side and server side in web applications is a threat to the users' private data because of side-channel leakage. Attackers can infer sensitive information from the network traffic generated during the communication according to packet sizes and sequence structure. Here we present a new technique, based on verification and quantitative information flow, for the analysis of these side channels in web applications. The technique is implemented in a tool, called SideAuto, whose applicability to a variety of web applications is demonstrated. SideAuto aims to perform fully automatic analysis of side-channel leakage. Core to this aim is the generation of test cases without the developer's manual work. Our technique applies primarily to the Apache Struts framework of web applications.","PeriodicalId":406846,"journal":{"name":"Proceedings of the 12th ACM workshop on Workshop on privacy in the electronic society","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 12th ACM workshop on Workshop on privacy in the electronic society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2517840.2517869","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Communication between the client side and server side in web applications is a threat to the users' private data because of side-channel leakage. Attackers can infer sensitive information from the network traffic generated during the communication according to packet sizes and sequence structure. Here we present a new technique, based on verification and quantitative information flow, for the analysis of these side channels in web applications. The technique is implemented in a tool, called SideAuto, whose applicability to a variety of web applications is demonstrated. SideAuto aims to perform fully automatic analysis of side-channel leakage. Core to this aim is the generation of test cases without the developer's manual work. Our technique applies primarily to the Apache Struts framework of web applications.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
SideAuto: web应用程序侧通道泄漏的定量信息流
在web应用程序中,由于侧信道泄漏,客户端和服务器端之间的通信对用户的私有数据构成了威胁。攻击者可以根据报文的大小和序列结构,从通信过程中产生的网络流量中推断出敏感信息。本文提出了一种基于验证和定量信息流的新技术,用于分析web应用程序中的这些侧信道。该技术在名为SideAuto的工具中实现,演示了其对各种web应用程序的适用性。SideAuto旨在执行侧通道泄漏的全自动分析。这个目标的核心是在没有开发人员手工工作的情况下生成测试用例。我们的技术主要应用于web应用程序的Apache Struts框架。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Thinking inside the BLAC box: smarter protocols for faster anonymous blacklisting On the use of decentralization to enable privacy in web-scale recommendation services Optimally private access control SideAuto: quantitative information flow for side-channel leakage in web applications Inferring social ties in academic networks using short-range wireless communications
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1