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Massachusetts Institute of Technology

Verifying Hardware Security Modules With True Random NumberGenerators

Abstract

dc:description.abstract

Hardware security modules (HSMs) are powerful tools in building secure computer systems, allowing developers to factor out security-critical code to separate devices. Because HSMs usually work with sensitive data, it is crucial that we are able to verify that they are secure. Many HSMs today also include true random number generators (TRNGs) as part of their architecture to seed cryptographic functions for generating keys, creating nonces, padding, and more. This thesis presents a definition of Information-Preserving Refinement with Randomness (IPRR) that captures the idea that a HSM with a TRNG is correct and is secure from timing side channel attacks. We additionally construct a strategy to prove IPRR, and develop Karatroc, a tool for verifying that a HSM satisfies IPRR. Through the creation and evaluation of Karatroc, we demonstrate the ability to verify HSMs with TRNGs without incurring significant added cost in performance and proof length as compared to existing proof methods.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zhao, Katherine
Advisors dc:contributor.advisor
  • Zeldovich, Nickolai
  • Athalye, Anish

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/156746
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/156746

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Zhao, Katherine. Verifying Hardware Security Modules With True Random NumberGenerators. Massachusetts Institute of Technology, 2024. https://hdl.handle.net/1721.1/156746