A metrics-based recommendation strategy for code obfuscation
Yuqiang Xiao, Yunfei Guo, Yawen Wang, Shumin Huo, Huanruo Li, Benwei He · International Conference on Mechanisms and Robotics (ICMAR 2022) · 2022
Obfuscation is a method of endogenous security commonly used to thwart software vulnerabilities exploitation and protect important properties such as intellectual property rights, software algorithms and user privacy. Numerous obfuscation techniques and products have been developed after decades of research while it is hard for users to are easy to figure out how to apply these obfuscation rules properly or if a program is obfuscated sufficiently. To solve this problem, this paper proposes a recommendation strategy for code obfuscation based on comprehensive metrics, providing a new scope for obfuscation development and applications. The strategy was implemented and verified on obfuscators and a suit of program benchmarks, demonstrating the strategy could obfuscate programs sufficiently with cost reduced by 30% within five obfuscation rules in average.