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Recently, automated software testing methods such as fuzzing ha ve been researched to find software vulnerabilities. The purpose of fuzzing is to disclose software vulnerabilities by p roviding a software with malformed data. In order to increase t he probability of vulnerability discovery by fuzzing, we must solv e the test suite reduction problem because the probability depends on the test case quality. In this paper, we propose a n ew method to solve the test suite reduction problem which is suitable for the long test case such as file. First, we suggested the length of test case as a measure in addition to old measures such as coverage and redundancy. Next we designed a test suite reduction algorithm using the new measure. In the experimental results, the proposed algorithm showed better perf ormance in the size and length reduction ratio of the test suit e than previous studies. Finally, results from an empirical study suggested the viability of our proposed measure and algorithm for file fuzzing.Keywords: Test Suite Reduction, File Fuzzing, Software Vulnerability(2013 3 6), (2013 3 18)†, mirr1004@ensec.re.kr‡, ymkim@jnu.ac.kr

A Length-based File Fuzzing Test Suite Reduction Algorithm for Evaluation of Software Vulnerability