User-habit based early warning of worm
On the burst-out of massive worm,the overwhelming flow caused by random scanning would temporarily alter the behavior representation of users.Therefore,it was consequently reasonable to conclude that statistics and classify the user habit would certainly help in the detection of worm efficiently.The...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2006-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74667179/ |
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| Summary: | On the burst-out of massive worm,the overwhelming flow caused by random scanning would temporarily alter the behavior representation of users.Therefore,it was consequently reasonable to conclude that statistics and classify the user habit would certainly help in the detection of worm efficiently.The behavior of user was analyzed deeply,a new approach for early warning of worms was proposed,and a user-based early warning system was realized.Because of the diversity of user habit,several application models can be derived from the model,it has strong direction signification. |
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| ISSN: | 1000-436X |