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Obfuscating program control flow with Intel SGX

Published: 27 May 2018 Publication History

Abstract

Control flow obfuscation is a direct approach in protecting the confidentiality of program logic. However, existing works in this direction either failed to offer high confidentiality guarantees or incurred high performance overheads. In this paper, we propose CFHider, a high security and high performance control flow obfuscation technique. By leveraging program transformation and Intel Software Guard Extension (SGX) technology, CFHider hides control flow information to an opaque yet trusted execution environment, i.e., the SGX enclave. Our evaluation showed that, CFHider extensively raises the bar for reverse-engineering attacks targeting on the control flow confidentiality, and incurs a moderate performance overhead.

References

[1]
Victor Costan and Srinivas Devadas. 2016. Intel SGX Explained. IACR Cryptology ePrint Archive 2016 (2016), 86.
[2]
Monirul I Sharif, Andrea Lanzi, Jonathon T Giffin, and Wenke Lee. 2008. Impeding Malware Analysis Using Conditional Code Obfuscation. In Network and Distributed System Security Symposium (NDSS).
[3]
Yongzhi Wang and Jinpeng Wei. 2015. Toward protecting control flow confidentiality in cloud-based computation. Computers & Security 52 (2015), 106--127.
[4]
Zhi Wang, Jiang Ming, Chunfu Jia, and Debin Gao. 2011. Linear obfuscation to combat symbolic execution. In European Symposium on Research in Computer Security. Springer, 210--226.

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  1. Obfuscating program control flow with Intel SGX

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    cover image ACM Conferences
    ICSE '18: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings
    May 2018
    231 pages
    ISBN:9781450356633
    DOI:10.1145/3183440
    • Conference Chair:
    • Michel Chaudron,
    • General Chair:
    • Ivica Crnkovic,
    • Program Chairs:
    • Marsha Chechik,
    • Mark Harman
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 May 2018

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    Author Tags

    1. SGX
    2. cloud computing
    3. control flow confidentiality

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    • Poster

    Funding Sources

    • National Natural Science Foundation of China
    • Natural Science Foundation of Shaanxi Province
    • National Key R&D Program of China

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    ICSE '18
    Sponsor:

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    Overall Acceptance Rate 276 of 1,856 submissions, 15%

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