PoisonIvy: Safe speculation for secure memory
Date
2016-12-14
Authors
Journal Title
Journal ISSN
Volume Title
Repository Usage Stats
views
downloads
Citation Stats
Abstract
© 2016 IEEE.Encryption and integrity trees guard against physical attacks, but harm performance. Prior academic work has speculated around the latency of integrity verification, but has done so in an insecure manner. No industrial implementations of secure processors have included speculation. This work presents PoisonIvy, a mechanism which speculatively uses data before its integrity has been verified while preserving security and closing address-based side-channels. PoisonIvy reduces performance overheads from 40% to 20% for memory intensive workloads and down to 1.8%, on average.
Type
Department
Description
Provenance
Subjects
Citation
Permalink
Published Version (Please cite this version)
Collections
Scholars@Duke
Andrew Douglas Hilton
Drew Hilton is a Professor of the Practice in Electrical and Computer Engineering, as well as Pratt’s Director of Innovation in Computing Education.
His main focus is on teaching professional-level programming skills to ECE’s master's students to prepare them for software engineering careers.
Professor Hilton also teaches a 3-week introduction to Programming Python for Duke's Master in Interdisciplinary Data Science, and Duke's Center for Computational Thinking.
He has two Coursera specializations, one in Java, and another in C.
Material is made available in this collection at the direction of authors according to their understanding of their rights in that material. You may download and use these materials in any manner not prohibited by copyright or other applicable law.