Hardware Information Flow Tracking

Author:

Hu Wei1ORCID,Ardeshiricham Armaiti2,Kastner Ryan2ORCID

Affiliation:

1. Northwestern Polytechnical University, Shaanxi, China

2. University of California, San Diego, La Jolla, CA

Abstract

Information flow tracking (IFT) is a fundamental computer security technique used to understand how information moves through a computing system. Hardware IFT techniques specifically target security vulnerabilities related to the design, verification, testing, manufacturing, and deployment of hardware circuits. Hardware IFT can detect unintentional design flaws, malicious circuit modifications, timing side channels, access control violations, and other insecure hardware behaviors. This article surveys the area of hardware IFT. We start with a discussion on the basics of IFT, whose foundations were introduced by Denning in the 1970s. Building upon this, we develop a taxonomy for hardware IFT. We use this to classify and differentiate hardware IFT tools and techniques. Finally, we discuss the challenges yet to be resolved. The survey shows that hardware IFT provides a powerful technique for identifying hardware security vulnerabilities, as well as verifying and enforcing hardware security properties.

Funder

Semiconductor Research Corporation

NSF

National Natural Science Foundation of China

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

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1. The area-efficient gate level information flow tracking schemes of digital circuit with multi-level security lattice;Microelectronics Journal;2024-02

2. EXERTv2: Exhaustive Integrity Analysis for Information Flow Security with FSM Integration;Journal of Hardware and Systems Security;2023-12-26

3. Security Verification of Low-Trust Architectures;Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security;2023-11-15

4. Another Break in the Wall: Harnessing Fault Injection Attacks to Penetrate Software Fortresses;Proceedings of the First International Workshop on Security and Privacy of Sensing Systems;2023-11-12

5. Lightning Talk: The Incredible Shrinking Black Box Model;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09

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