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Massachusetts Institute of Technology

Preventing information leaks with policy-agnostic programming

Abstract

dc:description.abstract

As a solution to the problem of information leaks, I propose a policy-agnostic programming paradigm that enforces security and privacy policies by construction. I present the implementation of this paradigm in a new language, Jeeves, that automatically enforces information flow policies describing how sensitive values may flow through computations. In Jeeves, the programmer specifies expressive information flow policies separately from other functionality and relies on the language runtime to customize program behavior based on the policies. Jeeves allows programmers to implement information flow policies once instead of as repeated checks and filters across the program. To provide strong guarantees about Jeeves programs, I present a formalization of the dynamic semantics of Jeeves, define non-interference and policy compliance properties, and provide proofs that Jeeves enforces these properties. To demonstrate the practical feasibility of policy-agnostic programming, I present Jacqueline, a web framework built on Jeeves that enforces policies in database-backed web applications. I provide a formalization of Jacqueline as an extension of Jeeves to include relational operators and proofs that this preserves the policy compliance guarantees. Jacqueline enforces information flow policies end-to-end and runs using an unmodified Python interpreter and SQL database. I show, through several case studies, that Jacqueline reduces the amount of policy code required while incurring limited overheads

Degree

thesis:*
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
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yang, Jean, Ph. D. Massachusetts Institute of Technology
Advisor dc:contributor.advisor
  • Armando Solar-Lezama.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/101468
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/101468

Chain of custody

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

Yang, Jean, Ph. D. Massachusetts Institute of Technology. Preventing information leaks with policy-agnostic programming. Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101468