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Massachusetts Institute of Technology

Towards Empirical Evaluation of Software Security Risk

Abstract

dc:description.abstract

This thesis provides empirical metrics for different vectors for vulnerability introduction, with a particular focus on cryptographic software. Through quantitative analysis of source code and vulnerability metrics from a variety of cryptographic libraries, we arrive at a more precise notion of what types of modifications introduce a higher level of risk into a system. Empirical evidence of the causes of security risk will provide technically-grounded guidance in the ongoing policy debate over exceptional access, enabling the security community to more objectively evaluate proposed exceptional access systems.

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
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Blessing, Jenny
Advisor dc:contributor.advisor
  • Weitzner, Daniel J.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/139005
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/139005

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

Blessing, Jenny. Towards Empirical Evaluation of Software Security Risk. Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/139005