Research on a dynamic self-learning efficient intrusion detection model
A dynamic self-learning efficient intrusion detection model was proposed based on inductive reasoning.Ap-plying the method of inductive reasoning into intrusion detection,an incremental inductive reasoning algorithm for intru-sion detection was proposed.This model produced by this algorithm can make...
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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/74657329/ |
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| Summary: | A dynamic self-learning efficient intrusion detection model was proposed based on inductive reasoning.Ap-plying the method of inductive reasoning into intrusion detection,an incremental inductive reasoning algorithm for intru-sion detection was proposed.This model produced by this algorithm can make self-learning over the ever-emerged new network behavior examples and dynamically modify behavior profile of the model,which overcomes the disadva-ntage that the traditional static detecting model must relearn over all the old and new examples,even can not relearn because of limited memory size.And at the same time,the learning efficiency and detecting efficiency of intrusion detection model are improved greatly. |
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| ISSN: | 1000-436X |