A Survey of Side-Channel Attacks on Branch Prediction Units

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Jihoon Kim, Hyerean Jang, Youngjoo Shin
{"title":"A Survey of Side-Channel Attacks on Branch Prediction Units","authors":"Jihoon Kim, Hyerean Jang, Youngjoo Shin","doi":"10.1145/3734218","DOIUrl":null,"url":null,"abstract":"The CPU architecture landscape is constantly evolving to optimize performance. However, this has inadvertently exposed vulnerabilities such as microarchitectural traces that can be exploited in side-channel attacks. The Branch Prediction Unit (BPU) plays a critical role in improving processor performance, but also introduces vulnerabilities to microarchitectural side-channel attacks. Despite ongoing efforts to develop defensive techniques, the continued emergence of new attack methods underscores the need for comprehensive analysis. This paper aims to address this research gap by conducting a thorough investigation of BPU-based side-channel attacks. This survey presents a novel taxonomy for the systematic classification of BPU-based side-channel attacks and defenses. The attacks and defenses are categorized based on three components: manipulated unit, core technique, and disclosure method. The analysis provides a structured evaluation of the effectiveness of defense techniques against each attack technique. This study not only enhances the understanding of BPU exploitation, but also provides valuable insights for software developers and CPU designers to help them protect against evolving side-channel threats.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"18 1","pages":""},"PeriodicalIF":23.8000,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Computing Surveys","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3734218","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

The CPU architecture landscape is constantly evolving to optimize performance. However, this has inadvertently exposed vulnerabilities such as microarchitectural traces that can be exploited in side-channel attacks. The Branch Prediction Unit (BPU) plays a critical role in improving processor performance, but also introduces vulnerabilities to microarchitectural side-channel attacks. Despite ongoing efforts to develop defensive techniques, the continued emergence of new attack methods underscores the need for comprehensive analysis. This paper aims to address this research gap by conducting a thorough investigation of BPU-based side-channel attacks. This survey presents a novel taxonomy for the systematic classification of BPU-based side-channel attacks and defenses. The attacks and defenses are categorized based on three components: manipulated unit, core technique, and disclosure method. The analysis provides a structured evaluation of the effectiveness of defense techniques against each attack technique. This study not only enhances the understanding of BPU exploitation, but also provides valuable insights for software developers and CPU designers to help them protect against evolving side-channel threats.
分支预测单元侧信道攻击研究综述
CPU架构不断发展以优化性能。然而,这无意中暴露了一些漏洞,比如可以在侧信道攻击中利用的微架构痕迹。分支预测单元(BPU)在提高处理器性能方面起着至关重要的作用,但也会给微架构侧信道攻击带来漏洞。尽管正在努力开发防御技术,但新攻击方法的不断出现强调了全面分析的必要性。本文旨在通过对基于bpu的侧信道攻击进行彻底的调查来解决这一研究缺口。这项调查提出了一个新的分类系统分类基于bpu的侧信道攻击和防御。攻击和防御基于三个组成部分进行分类:操纵单元、核心技术和披露方法。该分析提供了针对每种攻击技术的防御技术有效性的结构化评估。这项研究不仅增强了对BPU利用的理解,而且为软件开发人员和CPU设计人员提供了有价值的见解,以帮助他们抵御不断发展的侧信道威胁。
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
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
×
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