Utilizing GPU Virtualization to Protect the Private Keys of GPU Cryptographic Computation-Reference-Cited by-同舟云学术

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Utilizing GPU Virtualization to Protect the Private Keys of GPU Cryptographic Computation

Published:2018 Issue: Volume: Page:142-157
ISSN:0302-9743
Container-title:Information and Communications Security
language:
Short-container-title:

Author:

Wang Ziyang,Zheng Fangyu,Lin Jingqiang,Dong Jiankuo

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-01950-1_9

Reference32 articles.

1. Blass, E.-O., Robertson, W.: Tresor-hunt: attacking CPU-bound encryption. In: Proceedings of the 28th Annual Computer Security Applications Conference, pp. 71–78. ACM (2012)

2. Lecture Notes in Computer Science;B Di,2016

3. Duato, J., Pena, A.J., Silla, F., Mayo, R., Quintana-Orti, E.S.: Performance of CUDA virtualized remote GPUs in high performance clusters. In: 2011 International Conference on Parallel Processing, pp. 365–374, September 2011

4. Erb, C., Collins, M., Greathouse, J.L.: Dynamic buffer overflow detection for GPGPUs. In: Proceedings of the 2017 International Symposium on Code Generation and Optimization, pp. 61–73. IEEE Press (2017)

5. Garmany, B., Müller, T.: Prime: private RSA infrastructure for memory-less encryption. In: Proceedings of the 29th Annual Computer Security Applications Conference, ACSAC 2013, pp. 149–158. ACM, New York (2013)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MemShield: GPU-Assisted Software Memory Encryption;Applied Cryptography and Network Security;2020

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