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An(other) Exercise in Measuring the Strength of Source Code Obfuscation

Authors: Yan Zhuang; Mykola Protsenko; Tilo Müller; Felix C. Freiling;

An(other) Exercise in Measuring the Strength of Source Code Obfuscation

Abstract

We experimentally compare the strength of different source code obfuscation techniques by measuring the performance of human analysts. We describe an experimental setup by which it is possible to compare different obfuscation techniques with each other. As techniques, we considered name overloading and opaque predicates, as well as the combination of both. While the results are interesting and show that increased levels of obfuscation decrease the performance of humans, only one result (the use of name overloading) was statistically significant.

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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!
2
Average
Average
Average
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