Software Diversity Composition Based on Multi-objective Optimization Algorithm NSGA-Ⅱ
Software diversity is widely used in scenarios such as software development because it effectively improves system re-silience and the cost of malicious binary analysis.How to collaboratively deploy the existing diversity techniques to obtain higher security gains while ensuring lower performance overhead is one key issue of software diversity research.The search algorithm of the existing software diversity composition methods is inefficient,the search space is small,and the security evaluation metric is not comprehensive,so it is difficult to comprehensively reflect the impact of software diversity on various attacks.To solve these problems,a software diversity composition method based on multi-objective optimization algorithm is proposed.The software di-versity composition problem is constructed as a multi-objective optimization model that comprehensively considers TLSH simila-rity,gadget quality and CPU clock cycles.A solution algorithm based on NSGA-Ⅱ including chromosome encoding,adaptive crossover and mutation operators,and validation algorithm for composition scheme is designed for the model.Experimental re-sults show that the proposed method can effectively generate software diversity composition with high security gain and low performance overhead.
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