Network anomaly detection based on TCM-KNN and genetic algorithm
A network anomaly detection scheme based on TCM-KNN algorithm was proposed.Moreover,genetic algo-rithm（GA） based instance selection was introduced to boost the detection performance,meanwhile reduce the computa-tional cost for TCM-KNN.A series of experimental results demonstrate the proposed method...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2007-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74657072/ |
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| _version_ | 1841537484884803584 |
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| author | LI Yang1 FANG Bin-xing1 GUO Li1 TIAN Zhi-hong1 ZHANG Yong-zheng1 JIANG Wei1 |
| author_facet | LI Yang1 FANG Bin-xing1 GUO Li1 TIAN Zhi-hong1 ZHANG Yong-zheng1 JIANG Wei1 |
| author_sort | LI Yang1 |
| collection | DOAJ |
| description | A network anomaly detection scheme based on TCM-KNN algorithm was proposed.Moreover,genetic algo-rithm（GA） based instance selection was introduced to boost the detection performance,meanwhile reduce the computa-tional cost for TCM-KNN.A series of experimental results demonstrate the proposed method is effective,the instance se-lection mechanism also improves TCM-KNN and makes it be a good candidate for anomaly detection in practice. |
| format | Article |
| id | doaj-art-b5988c37509c4591a854b2bbdebcb30b |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2007-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-b5988c37509c4591a854b2bbdebcb30b2025-01-14T08:35:12ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2007-01-01485274657072Network anomaly detection based on TCM-KNN and genetic algorithmLI Yang1FANG Bin-xing1GUO Li1TIAN Zhi-hong1ZHANG Yong-zheng1JIANG Wei1A network anomaly detection scheme based on TCM-KNN algorithm was proposed.Moreover,genetic algo-rithm（GA） based instance selection was introduced to boost the detection performance,meanwhile reduce the computa-tional cost for TCM-KNN.A series of experimental results demonstrate the proposed method is effective,the instance se-lection mechanism also improves TCM-KNN and makes it be a good candidate for anomaly detection in practice.http://www.joconline.com.cn/zh/article/74657072/network securityanomaly detectionTCM-KNN algorithmgeneric algorithminstance selection |
| spellingShingle | LI Yang1 FANG Bin-xing1 GUO Li1 TIAN Zhi-hong1 ZHANG Yong-zheng1 JIANG Wei1 Network anomaly detection based on TCM-KNN and genetic algorithm Tongxin xuebao network security anomaly detection TCM-KNN algorithm generic algorithm instance selection |
| title | Network anomaly detection based on TCM-KNN and genetic algorithm |
| title_full | Network anomaly detection based on TCM-KNN and genetic algorithm |
| title_fullStr | Network anomaly detection based on TCM-KNN and genetic algorithm |
| title_full_unstemmed | Network anomaly detection based on TCM-KNN and genetic algorithm |
| title_short | Network anomaly detection based on TCM-KNN and genetic algorithm |
| title_sort | network anomaly detection based on tcm knn and genetic algorithm |
| topic | network security anomaly detection TCM-KNN algorithm generic algorithm instance selection |
| url | http://www.joconline.com.cn/zh/article/74657072/ |
| work_keys_str_mv | AT liyang1 networkanomalydetectionbasedontcmknnandgeneticalgorithm AT fangbinxing1 networkanomalydetectionbasedontcmknnandgeneticalgorithm AT guoli1 networkanomalydetectionbasedontcmknnandgeneticalgorithm AT tianzhihong1 networkanomalydetectionbasedontcmknnandgeneticalgorithm AT zhangyongzheng1 networkanomalydetectionbasedontcmknnandgeneticalgorithm AT jiangwei1 networkanomalydetectionbasedontcmknnandgeneticalgorithm |