Vulnerable GPU Memory Management: Towards Recovering Raw Data from GPU
Publication in refereed journal

Altmetrics Information
.

Other information
AbstractAccording to previous reports, information could be leaked from GPU memory; however, the security implications of such a threat were mostly over-looked, because only limited information could be indirectly extracted through side-channel attacks. In this paper, we propose a novel algorithm for recovering raw data directly from the GPU memory residues of many popular applications such as Google Chrome and Adobe PDF reader. Our algorithm enables harvesting highly sensitive information including credit card numbers and email contents from GPU memory residues. Evaluation results also indicate that nearly all GPU-accelerated applications are vulnerable to such attacks, and adversaries can launch attacks without requiring any special privileges both on traditional multi-user operating systems, and emerging cloud computing scenarios.
All Author(s) ListZhe Zhou, Wenrui Diao, Xiangyu Liu, Zhou Li, Kehuan Zhang, Rui Liu
Journal nameWater Treatment Technology
Year2017
Month4
Day1
Volume Number2017
Issue Number2
PublisherDe Gruyter Group
Pages57 - 73
ISSN2299-0984
LanguagesEnglish-United States

Last updated on 2020-25-11 at 01:16