Massachusetts Institute of Technology
Towards Empirical Evaluation of Software Security Risk
Abstract
dc:description.abstractThis 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
- Licence dc:rights.uri
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