Benchmarking the Capabilities and Limitations of SAT Solvers in Defeating Obfuscation Schemes

Shervin Roshanisefat, Harshith K. Thirumala, K. Gaj, H. Homayoun, Avesta Sasan
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引用次数: 18

Abstract

In this paper, we investigate the strength of six different SAT solvers in attacking various obfuscation schemes. Our investigation revealed that Glucose and Lingeling SAT solvers are generally suited for attacking small-to-midsize obfuscated circuits, while the MapleGlucose, if the system is not memory bound, is best suited for attacking mid-to-difficult obfuscation methods. Our experimental result indicates that when dealing with extremely large circuits and very difficult oufuscation problems, the SAT solver may be memory bound, and Lingeling, for having the most memory efficient implementation, is the best suited solver for such problems. Additionally, our investigation revealed that SAT solver execution times may vary widely across different SAT solvers. Hence, when testing the hardness of an obfuscation methods, although the increase in difficulty could be verified by one SAT solver, the pace of increase in difficulty is dependent on the choice of a SAT solver.
测试SAT解算器在击败混淆方案中的能力和局限性
在本文中,我们研究了六种不同的SAT求解器在攻击各种混淆方案时的强度。我们的研究表明,葡萄糖和Lingeling SAT求解器通常适用于攻击中小型混淆电路,而MapleGlucose,如果系统没有内存限制,则最适合攻击中型到困难的混淆方法。我们的实验结果表明,当处理非常大的电路和非常困难的混淆问题时,SAT求解器可能会受到内存限制,而lingling具有最高的内存效率实现,是最适合此类问题的求解器。此外,我们的调查显示,SAT求解器的执行时间可能在不同的SAT求解器之间差异很大。因此,在测试混淆方法的难度时,尽管难度的增加可以通过一个SAT求解器来验证,但难度的增加速度取决于SAT求解器的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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