CiseLeaks: Information Leakage Assessment of Cryptographic Instruction Set Extension Prototypes

IF 8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS IEEE Transactions on Information Forensics and Security Pub Date : 2025-01-17 DOI:10.1109/TIFS.2025.3531239
Aruna Jayasena;Richard Bachmann;Prabhat Mishra
{"title":"CiseLeaks: Information Leakage Assessment of Cryptographic Instruction Set Extension Prototypes","authors":"Aruna Jayasena;Richard Bachmann;Prabhat Mishra","doi":"10.1109/TIFS.2025.3531239","DOIUrl":null,"url":null,"abstract":"Software based cryptographic implementations provide flexibility but they face performance limitations. In contrast, hardware based cryptographic accelerators utilize application-specific customization to provide real-time security solutions. Cryptographic instruction-set extensions (CISE) combine the advantages of both hardware and software based solutions to provide higher performance combined with the flexibility of atomic-level cryptographic operations. While CISE is widely used to develop security solutions, side-channel analysis of CISE-based devices is in its infancy. Specifically, it is important to evaluate whether the power usage and electromagnetic emissions of CISE-based devices have any correlation with its internal operations, which an adversary can exploit to deduce cryptographic secrets. In this paper, we propose a test vector leakage assessment framework to evaluate the pre-silicon prototypes at the early stages of the design life-cycle. Specifically, we first identify functional units with the potential for leaking information through power side-channel signatures and then evaluate them on system prototypes by generating the necessary firmware to maximize the side-channel signature. Our experimental results on two RISC-V based cryptographic extensions, RISCV-CRYPTO and XCRYPTO, demonstrated that seven out of eight prototype AES- and SHA-related functional units are vulnerable to leaking cryptographic secrets through their power side-channel signature even in full system mode with a statistical significance of <inline-formula> <tex-math>$\\alpha = 0.05$ </tex-math></inline-formula>.","PeriodicalId":13492,"journal":{"name":"IEEE Transactions on Information Forensics and Security","volume":"20 ","pages":"1551-1565"},"PeriodicalIF":8.0000,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Information Forensics and Security","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10844934/","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

Software based cryptographic implementations provide flexibility but they face performance limitations. In contrast, hardware based cryptographic accelerators utilize application-specific customization to provide real-time security solutions. Cryptographic instruction-set extensions (CISE) combine the advantages of both hardware and software based solutions to provide higher performance combined with the flexibility of atomic-level cryptographic operations. While CISE is widely used to develop security solutions, side-channel analysis of CISE-based devices is in its infancy. Specifically, it is important to evaluate whether the power usage and electromagnetic emissions of CISE-based devices have any correlation with its internal operations, which an adversary can exploit to deduce cryptographic secrets. In this paper, we propose a test vector leakage assessment framework to evaluate the pre-silicon prototypes at the early stages of the design life-cycle. Specifically, we first identify functional units with the potential for leaking information through power side-channel signatures and then evaluate them on system prototypes by generating the necessary firmware to maximize the side-channel signature. Our experimental results on two RISC-V based cryptographic extensions, RISCV-CRYPTO and XCRYPTO, demonstrated that seven out of eight prototype AES- and SHA-related functional units are vulnerable to leaking cryptographic secrets through their power side-channel signature even in full system mode with a statistical significance of $\alpha = 0.05$ .
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
密码指令集扩展原型的信息泄漏评估
基于软件的加密实现提供了灵活性,但它们面临性能限制。相反,基于硬件的加密加速器利用特定于应用程序的定制来提供实时安全解决方案。密码学指令集扩展(CISE)结合了基于硬件和基于软件的解决方案的优点,提供了更高的性能和原子级密码学操作的灵活性。虽然CISE被广泛用于开发安全解决方案,但基于CISE的设备的侧信道分析还处于起步阶段。具体来说,重要的是评估基于cises的设备的电力使用和电磁发射是否与其内部操作有任何关联,攻击者可以利用这些操作来推断加密秘密。在本文中,我们提出了一个测试向量泄漏评估框架,用于在设计生命周期的早期阶段评估预硅原型。具体来说,我们首先确定具有通过功率侧信道签名泄露信息的可能性的功能单元,然后通过生成必要的固件来最大化侧信道签名,从而在系统原型上对它们进行评估。我们在两个基于RISC-V的密码扩展RISCV-CRYPTO和XCRYPTO上的实验结果表明,即使在全系统模式下,8个与AES和sha相关的原型功能单元中有7个容易通过其功率侧信道签名泄露密码秘密,其统计显著性为$\alpha = 0.05$。
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
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Information Forensics and Security 工程技术-工程:电子与电气
CiteScore
14.40
自引率
7.40%
发文量
234
审稿时长
6.5 months
期刊介绍: The IEEE Transactions on Information Forensics and Security covers the sciences, technologies, and applications relating to information forensics, information security, biometrics, surveillance and systems applications that incorporate these features
期刊最新文献
RFFRDet: A Refined Feature Fusion Rotation Detector for Prohibited Item Recognition in X-ray Images SE-ASSO: A Security-Enhanced Anonymous Single-Sign-On Authentication Scheme Your Non-Transferable Learning is Fragile: Practical Breach of Protected Models State Partition-Particle Filter Detection for Cyber-Physical Attacks BrainprintNet: A Multiscale Cross-Band Fusion Network for EEG-based Brainprint Recognition
×
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:604180095
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