Hardiness sensing for susceptibility using American Fuzzy Lop
| Autor: | I Vasudevan, T Thangarasan, C Krishnan, R Krishna Prakash, I Indhuja |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Theoretical computer science
lcsh:T58.5-58.64 Computer science lcsh:Information technology media_common.quotation_subject Process (computing) 020207 software engineering 02 engineering and technology Extension (predicate logic) Fuzz testing Space (commercial competition) american fuzzy lop Fuzzy logic fuzzing 020204 information systems Metric (mathematics) 0202 electrical engineering electronic engineering information engineering Benchmark (computing) Quality (business) afl media_common |
| Zdroj: | ITM Web of Conferences, Vol 37, p 01003 (2021) |
| ISSN: | 2271-2097 |
| Popis: | American Fuzzy Lop is an automated software testing method to give unexceeded values, else random data’s as input to computer programs for testing the hardiness process. Existing fuzzing methods will come under carried based type. Pointing to test a certain input that covers a certain region of units to fit under retain part. Still, a susceptibility over a program space may not arrive paraded in all execution that occurs to see the certain program parts; just some program executions will go the location could disclose the susceptibility. In this paper, we introduced a unified fitness metric known as direct board, which can be used for American Fuzzy lop, and that is explicitly pointed toward exploring for test input that can disclose susceptibilities. To improvise the AFL, we have enhanced its methodology to produce a more effective quality fuzzing tool. This causes our method to notice buffer invade as well as the whole number invade susceptibilities. Enhanced AFL is tested with similar benchmark programs to compare it and adding an extension to it called AFLBLEND. By our method, many uncover susceptibility could be found with a given amount of time and faster than the AFL approach by 8%. |
| Databáze: | OpenAIRE |
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