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| Content Provider | Springer Nature Link |
|---|---|
| Author | Jia chun, Li Zhi tang, Li |
| Copyright Year | 2003 |
| Abstract | It’s very difficult that the traditional intrusion detection methods based on accurate match adapt to the blur and uncertainty of user information and expert knowledge, it results in failing to report the variations of attack signature. In addition security itself includes fuzziness, the judgment standard of confidentiality, integrity and availability of system resource is uncertain. In this paper fuzzy intrusion detection based on partial match is presented to detect some types of attacks availably and alleviate some of the difficulties of above approaches, the architecture of fuzzy intrusion detection system (FIDS) is introduced and its performance is analyzed. |
| Starting Page | 46 |
| Ending Page | 50 |
| Page Count | 5 |
| File Format | |
| ISSN | 10071202 |
| Journal | Wuhan University Journal of Natural Sciences |
| Volume Number | 8 |
| Issue Number | 1 |
| e-ISSN | 19934998 |
| Language | English |
| Publisher | Wuhan University |
| Publisher Date | 2003-01-01 |
| Publisher Place | Wuhan |
| Access Restriction | Subscribed |
| Subject Keyword | intrusion detection fuzzy fuzzy expert system genetic algorithm Mathematics Computer Science Physics Life Sciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |
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