变异策略动态构建的模糊测试数据生成方法

Translated title of the contribution: Fuzzing Test Data Generation Method Based on Dynamic Construction of Mutation Strategy

Long Long Jiao, Sen Lin Luo, Wei Cao, Li Min Pan*, Ji Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

The test data generated by random mutation in fuzz testing destroys the input specification of the target program, which leads to the failure of test data verification and low code coverage. Aiming at this problem, a fuzzing test data generation method was proposed based on dynamic construction of mutation strategy. The method was designed to use the feedback information of instrumentation to dynamically construct the control mutation strategy and the keyword mutation strategy, and to guide the fuzzer to generate test data with high coverage. Experimental results show that compared with random mutation, this method can improve the code branch coverage by about 40% on average. This method can effectively improve the efficiency of fuzz testing, and has a strong practical value.

Translated title of the contributionFuzzing Test Data Generation Method Based on Dynamic Construction of Mutation Strategy
Original languageChinese (Traditional)
Pages (from-to)539-544
Number of pages6
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume39
Issue number5
DOIs
Publication statusPublished - 1 May 2019

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