改进的基于底层虚拟机混淆器的指令混淆框架

针对底层虚拟机混淆器（OLLVM）在指令混淆层面只支持指令替换一种算法，且仅支持5种运算符和13种替换方案的问题，设计了一种改进版的指令混淆框架InsObf，以加强OLLVM指令层面的混淆效果。InsObf包含指令加花和指令替换，其中指令加花首先对基本块的指令进行依赖分析，然后插入叠加跳转和虚假循环两种花指令；指令替换在OLLVM的基础上，拓展至13种运算符，共计52种指令替换方案。在底层虚拟机（LLVM）上实现了框架原型后，通过实验表明，与OLLVM相比，InsObf在时间开销增长约10个百分点，空间开销增长约20个百分点的情况下，圈复杂度和抗逆向能力均可提高近4倍；与同样基于OLLVM改进的Armariris和Hikari相比，InsObf在同一量级的时空开销下，可以提供更高的代码复杂度。因此，InsObf可提供指令层级的有效保护。

Improved instruction obfuscation framework based on obfuscator low level virtual machine

Focusing on the issue that only one instruction substitution with 5 operators and 13 substitution schemes is supported in Obfuscator Low Level Virtual Machine （OLLVM） at the instruction obfuscation level， an improved instruction obfuscation framework InsObf was proposed. InsObf， including junk code insertion and instruction substitution， was able to enhance the obfuscation effect at the instruction level based on OLLVM. For junk code insertion， firstly， the dependency of the instruction inside the basic block was analyzed， and then two kinds of junk code， multiple jump and bogus loop， were inserted to disrupt the structure of the basic block. For instruction substitution， based on OLLVM， it was expanded to 13 operators， with 52 instruction substitution schemes. The framework prototype was implemented on Low Level Virtual Machine （LLVM）. Experimental results show that compared to OLLVM， InsObf has the cyclomatic complexity and resilience increased by almost four times， with a time cost of about 10 percentage points and a space cost of about 20 percentage points higher. Moreover， InsObf can provide higher code complexity compared to Armariris and Hikari， which are also improved on the basis of OLLVM， at the same order of magnitude of time and space costs. Therefore， InsObf can provide effective protection at the instruction level.