Abstract: With the application of the multiple inter-conflicting objects during the code evaluation, which is a key aspect of code obfuscation in industry engineering, and the optimization of the code obfuscation technology application sequence, a code obfuscation model based on NSGA-II genetic optimization algorithm for multi-objective optimization was developed. Dendritic gene coding using Abstract Syntax Tree (AST) was proposed. Several crucial operations including crossover, mutation and selection adapting to code obfuscation were designed. A set of software complexity indicators that some of them have been optimized was created as the objective functions of NSGA-II. Ample experimental schemes having different types or objective numbers was designed and implement to validate the model with a variety of representative code obfuscation technologies.

Key words: NSGA-II(fast and elitist non-dominated sorting in genetic algorithms), genetic coding, abstract syntax tree, code obfuscation