End-to-end verification of information-flow security for C and assembly programs

Abstract

Protecting the confidentiality of information manipulated by a computing system is one of the most important challenges facing today's cybersecurity community. A promising step toward conquering this challenge is to formally verify that the end-to-end behavior of the computing system really satisfies various information-flow policies. Unfortunately, because today's system software still consists of both C and assembly programs, the end-to-end verification necessarily requires that we not only prove the security properties of individual components, but also carefully preserve these properties through compilation and cross-language linking. In this paper, we present a novel methodology for formally verifying end-to-end security of a software system that consists of both C and assembly programs. We introduce a general definition of observation function that unifies the concepts of policy specification, state indistinguishability, and whole-execution behaviors. We show how to use different observation functions for different levels of abstraction, and how to link different security proofs across abstraction levels using a special kind of simulation that is guaranteed to preserve state indistinguishability. To demonstrate the effectiveness of our new methodology, we have successfully constructed an end-to-end security proof, fully formalized in the Coq proof assistant, of a nontrivial operating system kernel (running on an extended CompCert x86 assembly machine model). Some parts of the kernel are written in C and some are written in assembly; we verify all of the code, regardless of language.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 02, 2016
Source ID
10.1145/2980983.2908100

Entities

People

  • David Costanzo
  • Ronghui Gu
  • Zhong Shao

Organizations

  • Defense Advanced Research Projects Agency
  • National Science Foundation
  • Yale University

Tags

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Mathematical Modeling and Probability Theory.
  • Software Engineering.

Technology Areas

  • Cyber