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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2013-04-01
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Series: | Tongxin xuebao |
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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 |