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DAGguise: Mitigating Memory Timing Side Channels

Authors: Deutsch, Peter William; Yang, Yuheng; Bourgeat, Thomas; Drean, Jules; Emer, Joel; Yan, Mengjia;

DAGguise: Mitigating Memory Timing Side Channels

Abstract

Our artifact comprises of two distinct parts: a unified gem5 / DRAMSim2 model (for performance evaluation), and a Rosette model (for security verification). The unified gem5/DRAMSim2 model is able to evaluate the performance of DAGguise and FS-BTA against an insecure baseline. We use gem5’s OoO core to perform baseline measurements, profile candidate rDAGs, and report final performance numbers. We also include the sample victim programs (DocDist and DNA) as described in the paper, in addition to an rDAG generation tool, and plotting scripts for Figures 7 and 9. The Rosette model symbolically executes the DAGguise system and verifies the Security Property with K-Induction as described in Section 5 of the paper.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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