Smart Fuzzing method based on comparison algorithm of control flow sequences

Flowing the way introduced in the research of evolutionary fuzzing system (EFS),a smart fuzzing method was proposed based on the node comparison algorithm among control flow sequences.Through mapping program execution flow sequences onto the control flow sequences,the isomorphism relationship betwee...

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Main Authors: Ying WANG, Yi-xian YANG, Xin-xin NIU, Li-ze GU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-04-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.04.013/
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author Ying WANG
Yi-xian YANG
Xin-xin NIU
Li-ze GU
author_facet Ying WANG
Yi-xian YANG
Xin-xin NIU
Li-ze GU
author_sort Ying WANG
collection DOAJ
description Flowing the way introduced in the research of evolutionary fuzzing system (EFS),a smart fuzzing method was proposed based on the node comparison algorithm among control flow sequences.Through mapping program execution flow sequences onto the control flow sequences,the isomorphism relationship between dada search space and program logic space was established.The analyzed results prove that the method is capa of mining a mass of information from group data effectively,and is able to fully util ze the parallelism of genetic algorithm to guide the fuzzing test.
format Article
id doaj-art-2eff4dee0e45459e9d113c8e930c290d
institution Kabale University
issn 1000-436X
language zho
publishDate 2013-04-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-2eff4dee0e45459e9d113c8e930c290d2025-01-14T06:35:04ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-04-013411412159671523Smart Fuzzing method based on comparison algorithm of control flow sequencesYing WANGYi-xian YANGXin-xin NIULi-ze GUFlowing the way introduced in the research of evolutionary fuzzing system (EFS),a smart fuzzing method was proposed based on the node comparison algorithm among control flow sequences.Through mapping program execution flow sequences onto the control flow sequences,the isomorphism relationship between dada search space and program logic space was established.The analyzed results prove that the method is capa of mining a mass of information from group data effectively,and is able to fully util ze the parallelism of genetic algorithm to guide the fuzzing test.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.04.013/smart Fuzzingcontrol flowgene algorithmvulnerability
spellingShingle Ying WANG
Yi-xian YANG
Xin-xin NIU
Li-ze GU
Smart Fuzzing method based on comparison algorithm of control flow sequences
Tongxin xuebao
smart Fuzzing
control flow
gene algorithm
vulnerability
title Smart Fuzzing method based on comparison algorithm of control flow sequences
title_full Smart Fuzzing method based on comparison algorithm of control flow sequences
title_fullStr Smart Fuzzing method based on comparison algorithm of control flow sequences
title_full_unstemmed Smart Fuzzing method based on comparison algorithm of control flow sequences
title_short Smart Fuzzing method based on comparison algorithm of control flow sequences
title_sort smart fuzzing method based on comparison algorithm of control flow sequences
topic smart Fuzzing
control flow
gene algorithm
vulnerability
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.04.013/
work_keys_str_mv AT yingwang smartfuzzingmethodbasedoncomparisonalgorithmofcontrolflowsequences
AT yixianyang smartfuzzingmethodbasedoncomparisonalgorithmofcontrolflowsequences
AT xinxinniu smartfuzzingmethodbasedoncomparisonalgorithmofcontrolflowsequences
AT lizegu smartfuzzingmethodbasedoncomparisonalgorithmofcontrolflowsequences