Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics

Research On The Generation Method Of Test Cases In Fuzzing

Authors
Hongliu Cai, Xi Yu, Liuyuqin Deng
Corresponding Author
Hongliu Cai
Available Online October 2015.
DOI
https://doi.org/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/).

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Volume Title
Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
978-94-6252-131-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmii-15.2015.63How to use a DOI?
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/).

Cite this article

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  - https://doi.org/10.2991/icmii-15.2015.63
ID  - Cai2015/10
ER  -