NDLI: PHANTOM: practical oblivious computation in a secure processor

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PHANTOM: practical oblivious computation in a secure processor

Content Provider	ACM Digital Library
Author	Asanovic, Krste Song, Dawn Love, Eric Maas, Martin Shi, Elaine Stefanov, Emil Kubiatowicz, John Tiwari, Mohit
Abstract	We introduce PHANTOM [1] a new secure processor that obfuscates its memory access trace. To an adversary who can observe the processor's output pins, all memory access traces are computationally indistinguishable (a property known as obliviousness). We achieve obliviousness through a cryptographic construct known as Oblivious RAM or ORAM. We first improve an existing ORAM algorithm and construct an empirical model for its trusted storage requirement. We then present PHANTOM, an oblivious processor whose novel memory controller aggressively exploits DRAM bank parallelism to reduce ORAM access latency and scales well to a large number of memory channels. Finally, we build a complete hardware implementation of PHANTOM on a commercially available FPGA-based server, and through detailed experiments show that PHANTOM is efficient in both area and performance. Accessing 4KB of data from a 1GB ORAM takes 26.2us (13.5us for the data to be available), a 32x slowdown over accessing 4KB from regular memory, while SQLite queries on a population database see 1.2-6x slowdown. PHANTOM is the first demonstration of a practical, oblivious processor and can provide strong confidentiality guarantees when offloading computation to the cloud.
Starting Page	311
Ending Page	324
Page Count	14
File Format	PDF
ISBN	9781450324779
DOI	10.1145/2508859.2516692
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-11-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Fpgas Oblivious ram Path oram Secure processors
Content Type	Text
Resource Type	Article

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