SPAM: Streamlined Prefetcher-Aware Multi-Threaded Cache Covert-Channel Attack

IF 1.4 3区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Computer Architecture Letters Pub Date : 2025-01-14 DOI:10.1109/LCA.2025.3529213
E. Kritheesh;Biswabandan Panda
{"title":"SPAM: Streamlined Prefetcher-Aware Multi-Threaded Cache Covert-Channel Attack","authors":"E. Kritheesh;Biswabandan Panda","doi":"10.1109/LCA.2025.3529213","DOIUrl":null,"url":null,"abstract":"Last-level cache (LLC) covert-channels exploit the cache timing differences to transmit information. In recent works, the attacks rely on a single sender and a single receiver. Streamline is the state-of-the-art cache covert channel attack that uses a shared array of addresses mapped to the payload bits, allowing parallelization of the encoding and decoding of bits. As multi-core systems are ubiquitous, multiple senders and receivers can be used to create a high bandwidth cache covert channel. However, this is not the case, and the bandwidth per thread is limited by various factors. We extend Streamline to a multi-threaded Streamline, where the senders buffer a few thousand bits at the LLC for the receivers to decode. We observe that these buffered bits are prone to eviction by the co-running processes before they are decoded. We propose SPAM, a multi-threaded covert-channel at the LLC. SPAM shows that fewer but faster senders must encode for more receivers to reduce this time frame. This ensures resilience to noise coming from cache activities of co-running applications. SPAM uses two different access patterns for the sender(s) and the receiver(s). The sender access pattern of the addresses is modified to leverage the hardware prefetchers to accelerate the loads while encoding. The receiver access pattern circumvents the hardware prefetchers for accurate load latency measurements. We demonstrate SPAM on a six-core (12-threaded) system, achieving a bit-rate of 12.21 MB/s at an error rate of 9.02% which is an improvement of over 70% over the state-of-the-art multi-threaded Streamline for comparable error rates when 50% of the co-running threads stress the cache system.","PeriodicalId":51248,"journal":{"name":"IEEE Computer Architecture Letters","volume":"24 1","pages":"25-28"},"PeriodicalIF":1.4000,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Computer Architecture Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10841844/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0

Abstract

Last-level cache (LLC) covert-channels exploit the cache timing differences to transmit information. In recent works, the attacks rely on a single sender and a single receiver. Streamline is the state-of-the-art cache covert channel attack that uses a shared array of addresses mapped to the payload bits, allowing parallelization of the encoding and decoding of bits. As multi-core systems are ubiquitous, multiple senders and receivers can be used to create a high bandwidth cache covert channel. However, this is not the case, and the bandwidth per thread is limited by various factors. We extend Streamline to a multi-threaded Streamline, where the senders buffer a few thousand bits at the LLC for the receivers to decode. We observe that these buffered bits are prone to eviction by the co-running processes before they are decoded. We propose SPAM, a multi-threaded covert-channel at the LLC. SPAM shows that fewer but faster senders must encode for more receivers to reduce this time frame. This ensures resilience to noise coming from cache activities of co-running applications. SPAM uses two different access patterns for the sender(s) and the receiver(s). The sender access pattern of the addresses is modified to leverage the hardware prefetchers to accelerate the loads while encoding. The receiver access pattern circumvents the hardware prefetchers for accurate load latency measurements. We demonstrate SPAM on a six-core (12-threaded) system, achieving a bit-rate of 12.21 MB/s at an error rate of 9.02% which is an improvement of over 70% over the state-of-the-art multi-threaded Streamline for comparable error rates when 50% of the co-running threads stress the cache system.
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
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Computer Architecture Letters
IEEE Computer Architecture Letters COMPUTER SCIENCE, HARDWARE & ARCHITECTURE-
CiteScore
4.60
自引率
4.30%
发文量
29
期刊介绍: IEEE Computer Architecture Letters is a rigorously peer-reviewed forum for publishing early, high-impact results in the areas of uni- and multiprocessor computer systems, computer architecture, microarchitecture, workload characterization, performance evaluation and simulation techniques, and power-aware computing. Submissions are welcomed on any topic in computer architecture, especially but not limited to: microprocessor and multiprocessor systems, microarchitecture and ILP processors, workload characterization, performance evaluation and simulation techniques, compiler-hardware and operating system-hardware interactions, interconnect architectures, memory and cache systems, power and thermal issues at the architecture level, I/O architectures and techniques, independent validation of previously published results, analysis of unsuccessful techniques, domain-specific processor architectures (e.g., embedded, graphics, network, etc.), real-time and high-availability architectures, reconfigurable systems.
期刊最新文献
Editorial: A Letter From the Editor-in-Chief of IEEE Computer Architecture Letters 2024 Reviewers List SPAM: Streamlined Prefetcher-Aware Multi-Threaded Cache Covert-Channel Attack Cooperative Memory Deduplication With Intel Data Streaming Accelerator High-Performance Winograd Based Accelerator Architecture for Convolutional Neural Network
×
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