Research on host malcode detection using machine learning
Main trends of host malcode detection using machine learning were focused on,and two categories of detection models(namely static analysis and dynamic analysis) were well discussed.Moreover,the critical stages such as malcode samples collection,feature extraction and selection,the construction of ma...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2017-07-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00179 |
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| _version_ | 1841530232841961472 |
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| author | Dong ZHANG Yao ZHANG Gang LIU Gui-xiang SONG |
| author_facet | Dong ZHANG Yao ZHANG Gang LIU Gui-xiang SONG |
| author_sort | Dong ZHANG |
| collection | DOAJ |
| description | Main trends of host malcode detection using machine learning were focused on,and two categories of detection models(namely static analysis and dynamic analysis) were well discussed.Moreover,the critical stages such as malcode samples collection,feature extraction and selection,the construction of machine learning classifiers were considered fully.At last,some future work and challenges in this field were listed.The work can serve as a practical reference for establishing next-generation malcode detection techniques. |
| format | Article |
| id | doaj-art-a292c5980d9c4b5381b52cbf652d081d |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2017-07-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-a292c5980d9c4b5381b52cbf652d081d2025-01-15T03:05:54ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2017-07-013253259550930Research on host malcode detection using machine learningDong ZHANGYao ZHANGGang LIUGui-xiang SONGMain trends of host malcode detection using machine learning were focused on,and two categories of detection models(namely static analysis and dynamic analysis) were well discussed.Moreover,the critical stages such as malcode samples collection,feature extraction and selection,the construction of machine learning classifiers were considered fully.At last,some future work and challenges in this field were listed.The work can serve as a practical reference for establishing next-generation malcode detection techniques.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00179malcode detectionmachine learningstatic analysisdynamic analysisclassification model |
| spellingShingle | Dong ZHANG Yao ZHANG Gang LIU Gui-xiang SONG Research on host malcode detection using machine learning 网络与信息安全学报 malcode detection machine learning static analysis dynamic analysis classification model |
| title | Research on host malcode detection using machine learning |
| title_full | Research on host malcode detection using machine learning |
| title_fullStr | Research on host malcode detection using machine learning |
| title_full_unstemmed | Research on host malcode detection using machine learning |
| title_short | Research on host malcode detection using machine learning |
| title_sort | research on host malcode detection using machine learning |
| topic | malcode detection machine learning static analysis dynamic analysis classification model |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00179 |
| work_keys_str_mv | AT dongzhang researchonhostmalcodedetectionusingmachinelearning AT yaozhang researchonhostmalcodedetectionusingmachinelearning AT gangliu researchonhostmalcodedetectionusingmachinelearning AT guixiangsong researchonhostmalcodedetectionusingmachinelearning |