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| Title | On the Automatic Detection of the SQL Injection Attacks by the Feature Extraction of the Single Character (in Japanese) |
|---|---|
| Authors | Michio Sonoda 、Takeshi Matsuda 、Daiki Koizumi 、Shigeichi Hirasawa |
| Released Year | 2010 |
| Format | Conference |
| Category | Information security |
| Jounal Name | SIG Technical Reports, 2011-CSEC-52, Vol.49 |
| Jounal Page | vol.49, pp.1-7 |
| Published Year | 2011 |
| Published Month | 3 |
| Abstract （English） |
In the conventional study, the parsing and the blacklist of the past attack methods are widely used in the detection of the SQL injection attack. However, the diversified camouflage technique makes detecting attacks difficult in such approaches. Then, in our study, we prepared the attack strings group and the normality strings group as samples of the input string, and we proposed high-speed algorithm, based on the ratio that occupied it to the character string where the character that characterize the attack was input, to reduce both misdetection rates, and we evaluated it. |
| Note （English） |
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| Manuscript | |
| Presentation |
