Broad-based side-channel defenses for modern microprocessors

Private or confidential information is used in a wide variety of applications, not just including implementations of cryptographic algorithms but also including machine-learning libraries, databases, and parsers. However, even after using techniques such as encryption, authentication, and isolation, it is difficult to maintain the privacy or confidentiality of such information due to so-called side channels, with which attackers can infer sensitive information by monitoring program execution. Various side channels exist such as execution time, power consumption, exceptions, or micro-architectural components such as caches and branch predictors, and such side channels have been used to steal intellectual property, financial information, and sensitive document contents. Although numerous solutions exist for closing side channels, they are point solutions, since each solution closes an isolated set of side channels. In this dissertation, we present three compiler-based solutions---Raccoon, Escort, and Vantage---for closing digital side channels (such as the cache, address trace, and branch predictor side channels) that carry information over discrete bits, and for mitigating the a non-digital side channel, specifically, the power side channel. Additionally, our compilers are customizable, since they permit the defense to be tailored to the threat model, to the program, and to the microarchitecture. More broadly, our solutions augment the compiler with information about the lower layers of the computing stack, so that the compiler is aware of potential side channels and so that the compiler can rewrite programs to avoid leaking information through those side channels. In doing so, our solutions define new abstractions that enable the compiler to reason about the program's impact on timing, power consumption, and other similar side channels. Through such abstractions, our compilers detect and prevent a broad set of digital and non-digital leakage on modern microarchitectures.

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

Doctoral

Discipline thesis:degree_discipline

Computer Science

Grantor

The University of Texas at Austin

Year dc:date.issued

2019

Author dc:creator

• Rane, Ashay

Advisors dc:contributor.advisor

• Lin, Yun Calvin
• Tiwari, Mohit

Committee members dc:contributor.committeemember

• Dillig, Isil
• Witchel, Emmett
• Evans, David

• Side-channel defenses

Language dc:language.iso

en

Identifier URI

http://dx.doi.org/10.26153/tsw/2661

OAI identifier oai:identifier

oai:repositories.lib.utexas.edu:2152/75557