SoK: Can We Really Detect Cache Side-Channel Attacks by Monitoring Performance Counters?-Reference-Cited by-同舟云学术

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SoK: Can We Really Detect Cache Side-Channel Attacks by Monitoring Performance Counters?

Published:2024-07 Issue: Volume:8 Page:172-185
ISSN:
Container-title:Proceedings of the 19th ACM Asia Conference on Computer and Communications Security
language:
Short-container-title:

Author:

Kosasih William¹^ORCID,Feng Yusi²³^ORCID,Chuengsatiansup Chitchanok⁴^ORCID,Yarom Yuval⁵^ORCID,Zhu Ziyuan²^ORCID

Affiliation:

1. University of Adelaide, Adelaide, Australia

2. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

3. University of Chinese Academy of Sciences, Beijing, China

4. The School of Computing and Information Systems, The University of Melbourne, Melbourne, Australia

5. Ruhr University Bochum, Bochum, Germany

Funder

Australian Research Council

China Scholarship Council

Deutsche Forschungsgemeinschaft

Publisher

ACM

Reference101 articles.

1. Onur Aciiçmez and Jean-Pierre Seifert. 2007. Cheap Hardware Parallelism Implies Cheap Security. In FDTC. 80--91.

2. Ayush Agarwal, Sioli O'Connell, Jason Kim, Shaked Yehezkel, Daniel Genkin, Eyal Ronen, and Yuval Yarom. 2022. Spook.js: Attacking Chrome Strict Site Isolation via Speculative Execution. In IEEE SP. 699--715.

3. Bilal A. Ahmad. 2019. Detecting Spectre and Meltdown Attacks Using Hardware Performance Counters and Machine Learning. Ph. D. Dissertation. University of the Punjab.

4. Bilal A. Ahmad. 2020. Real Time Detection of Spectre and Meltdown Attacks Using Machine Learning. arXiv preprint arXiv:2006.01442 (2020).

5. Meet the Sherlock Holmes' of Side Channel Leakage: A Survey of Cache SCA Detection Techniques;Akram Ayaz;IEEE Access,2020

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