Approach of detecting LDoS attack based on time window statistic
Through analysised of normal traffic and attack flow,statistic result showed that the normal traffic throughout had an obviously degrade and attack flow had a short time abnormity pulse with higher amplitude.An approach of de-tecting LDoS attack based on time window statistic was presented.Experimen...
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2010-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74646386/ |
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| _version_ | 1841537784046682112 |
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| author | WU Zhi-jun ZENG Hua-long YUE Meng |
| author_facet | WU Zhi-jun ZENG Hua-long YUE Meng |
| author_sort | WU Zhi-jun |
| collection | DOAJ |
| description | Through analysised of normal traffic and attack flow,statistic result showed that the normal traffic throughout had an obviously degrade and attack flow had a short time abnormity pulse with higher amplitude.An approach of de-tecting LDoS attack based on time window statistic was presented.Experiments on different length of sample time were conducted in a test environment established on simulation network.Test results show that the detection probability is more than 96%,false negative and false positive are less than 3%. |
| format | Article |
| id | doaj-art-4d2eea78fe8247d89c17c5075ab14b9d |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2010-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-4d2eea78fe8247d89c17c5075ab14b9d2025-01-14T08:23:59ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2010-01-0131556274646386Approach of detecting LDoS attack based on time window statisticWU Zhi-junZENG Hua-longYUE MengThrough analysised of normal traffic and attack flow,statistic result showed that the normal traffic throughout had an obviously degrade and attack flow had a short time abnormity pulse with higher amplitude.An approach of de-tecting LDoS attack based on time window statistic was presented.Experiments on different length of sample time were conducted in a test environment established on simulation network.Test results show that the detection probability is more than 96%,false negative and false positive are less than 3%.http://www.joconline.com.cn/zh/article/74646386/low-rate denial of serviceretransmission time outtime windowstatisticdetection |
| spellingShingle | WU Zhi-jun ZENG Hua-long YUE Meng Approach of detecting LDoS attack based on time window statistic Tongxin xuebao low-rate denial of service retransmission time out time window statistic detection |
| title | Approach of detecting LDoS attack based on time window statistic |
| title_full | Approach of detecting LDoS attack based on time window statistic |
| title_fullStr | Approach of detecting LDoS attack based on time window statistic |
| title_full_unstemmed | Approach of detecting LDoS attack based on time window statistic |
| title_short | Approach of detecting LDoS attack based on time window statistic |
| title_sort | approach of detecting ldos attack based on time window statistic |
| topic | low-rate denial of service retransmission time out time window statistic detection |
| url | http://www.joconline.com.cn/zh/article/74646386/ |
| work_keys_str_mv | AT wuzhijun approachofdetectingldosattackbasedontimewindowstatistic AT zenghualong approachofdetectingldosattackbasedontimewindowstatistic AT yuemeng approachofdetectingldosattackbasedontimewindowstatistic |