Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
7-2019
Abstract
VM-based software obfuscation has emerged as an effective technique for program obfuscation. Despite various attempts in improving its effectiveness and security, existing VM-based software obfuscators use potentially multiple but static secret mappings between virtual and native opcodes to hide the underlying instructions. In this paper, we present an attack using frequency analysis to effectively recover the secret mapping to compromise the protection, and then propose a novel VM-based obfuscator in which each basic block uses a dynamic and control-flow-aware mapping between the virtual and native instructions. We show that our proposed VM-based obfuscator not only renders the frequency analysis attack ineffective, but dictates the execution and program analysis to follow the original control flow of the program, making state-of-the-art backward tainting and slicing ineffective. We implement a prototype of our VM-based obfuscator and show its effectiveness with experiments on SPEC benchmarking and other real-world applications.
Keywords
Frequency analysis, Software obfuscation, Virtualization
Discipline
Information Security
Research Areas
Cybersecurity
Publication
Applied Cryptography and Network Security: 17th International Conference, ACNS 2019, Bogota, Colombia, June 5-7: Proceedings
Volume
11464
First Page
155
Last Page
174
ISBN
9783030215675
Identifier
10.1007/978-3-030-21568-2_8
Publisher
Springer
City or Country
Cham
Citation
CHENG, Xiaoyang; LIN, Yan; and GAO, Debin.
DynOpVm: VM-based software obfuscation with dynamic opcode mapping. (2019). Applied Cryptography and Network Security: 17th International Conference, ACNS 2019, Bogota, Colombia, June 5-7: Proceedings. 11464, 155-174.
Available at: https://ink.library.smu.edu.sg/sis_research/4687
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-030-21568-2_8