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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao The Computer Journalarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
The Computer Journal
Article . 2025 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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Code obfuscation based on deep integration

Authors: Xiaobing Xiong; Zihan Sha; Hui Shu; Ran Wei;

Code obfuscation based on deep integration

Abstract

Abstract Code obfuscation is essential for software security. However, current obfuscation techniques demonstrate limited resilience against systematic reverse engineering attacks—including taint analysis and code similarity detection. Moreover, these methods often incur considerable resource overheads and recognizable obfuscation features. In this paper, we propose an innovative obfuscation algorithm that integrates the instruction and data flows of two programs at the intermediate representation level. The resulting program maintains the complete functionality of both original programs. This strategy utilizes the static and dynamic features of the parent program to obfuscate the target program. Extracting the target code from the integrated program is a significant challenge, thereby enhancing the target code’s resistance to deobfuscation. We evaluate our algorithm across various metrics: functionality correctness, obfuscation efficiency, protection strength, and resilience to automated reverse engineering techniques. Our comprehensive evaluation demonstrates that our method imposes significantly lower overhead while delivering markedly improved protection effectiveness, marking a significant advancement in software protection.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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