Presentation | 2003/7/10 Anomaly-based intrusion detection and prevention by semantic evaluation of HTTP requests Toru KONNO, Masamichi TATEOKA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We implemented anomaly intrusion detection/prevention system which detects semantic anomaly in HTTP requests to web servers. The system parses HTTP requests, evaluates each of the semantically separated elements by the length, or the number of included specific characters, and calculates the means and the variances of those evaluated values. To detect/prevent anomaly Hi IP requests, the system discriminates anomaly by evaluated values of the syntactic elements. Experimentation shows that average true positive rate is 92%, and average false positive rate is 0.17%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Anomaly Detection / HTTP / Intrusion detection and prevention / IDS / IDP |
Paper # | ISEC2003-24 |
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Committee | ISEC |
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Conference Date | 2003/7/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Information Security (ISEC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Anomaly-based intrusion detection and prevention by semantic evaluation of HTTP requests |
Sub Title (in English) | |
Keyword(1) | Anomaly Detection |
Keyword(2) | HTTP |
Keyword(3) | Intrusion detection and prevention |
Keyword(4) | IDS |
Keyword(5) | IDP |
1st Author's Name | Toru KONNO |
1st Author's Affiliation | Advanced technology development group, platform solutions division, TOSHIBA Corporation e-Solution Company() |
2nd Author's Name | Masamichi TATEOKA |
2nd Author's Affiliation | Advanced technology development group, platform solutions division, TOSHIBA Corporation e-Solution Company |
Date | 2003/7/10 |
Paper # | ISEC2003-24 |
Volume (vol) | vol.103 |
Number (no) | 195 |
Page | pp.pp.- |
#Pages | 6 |
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