Research On The Generation Method Of Test Cases In Fuzzing

DOI

10.2991/icmii-15.2015.63How to use a DOI?

Keywords

Fuzzing, test case, code coverage, genetic algorithm

Abstract

Code coverage has always been an important factor affecting the efficiency of Fuzzing, and it is largely affected by Fuzzing test cases, so it is very important to construct efficient test cases. Applying genetic algorithm into the generation of test cases, it can not only reduce the redundancy of test cases, but also improve code coverage. So that we can fully test the target in less time, and improve the efficiency and effect of Fuzzing test.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Hongliu Cai
AU  - Xi Yu
AU  - Liuyuqin Deng
PY  - 2015/10
DA  - 2015/10
TI  - Research On The Generation Method Of Test Cases In Fuzzing
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 345
EP  - 351
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.63
DO  - 10.2991/icmii-15.2015.63
ID  - Cai2015/10
ER  -