DC Field | Value | Language |
---|---|---|
dc.contributor.author | Manes, Valentin J. M. | ko |
dc.contributor.author | KIM, SOOMIN | ko |
dc.contributor.author | Cha, Sang Kil | ko |
dc.date.accessioned | 2020-11-03T07:55:17Z | - |
dc.date.available | 2020-11-03T07:55:17Z | - |
dc.date.created | 2020-11-02 | - |
dc.date.created | 2020-11-02 | - |
dc.date.created | 2020-11-02 | - |
dc.date.issued | 2020-07-07 | - |
dc.identifier.citation | 42nd ACM/IEEE International Conference on Software Engineering, ICSE 2020, pp.1024 - 1036 | - |
dc.identifier.issn | 0270-5257 | - |
dc.identifier.uri | http://hdl.handle.net/10203/277086 | - |
dc.description.abstract | Grey-box fuzzing is an evolutionary process, which maintains and evolves a population of test cases with the help of a fitness function. Fitness functions used by current grey-box fuzzers are not informative in that they cannot distinguish different program executions as long as those executions achieve the same coverage. The problem is that current fitness functions only consider a union of data, but not their combination. As such, fuzzers often get stuck in a local optimum during their search. In this paper, we introduce Ankou, the first grey-box fuzzer that recognizes different combinations of execution information, and present several scalability challenges encountered while designing and implementing Ankou. Our experimental results show that Ankou is 1.94 and 8.0 more effective in finding bugs than AFL and Angora, respectively. | - |
dc.language | English | - |
dc.publisher | ACM Special Interest Group on Software Engineering, IEEE Computer Society Technical Council on Software Engineering | - |
dc.title | Ankou: Guiding Grey-box Fuzzing towards Combinatorial Difference | - |
dc.type | Conference | - |
dc.identifier.wosid | 000652529800084 | - |
dc.identifier.scopusid | 2-s2.0-85094316504 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 1024 | - |
dc.citation.endingpage | 1036 | - |
dc.citation.publicationname | 42nd ACM/IEEE International Conference on Software Engineering, ICSE 2020 | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | Virtual | - |
dc.identifier.doi | 10.1145/3377811.3380421 | - |
dc.contributor.localauthor | Cha, Sang Kil | - |
dc.contributor.nonIdAuthor | Manes, Valentin J. M. | - |
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