Name
Abstract | ||
|---|---|---|
In this paper we prove that the correlation approach to SQL Injection Attacks allows improving results of such attacks detection. Moreover, we propose a novel method for SQLIA detection based on the genetic algorithm for determining anomalous queries. Experimental scenario is also described and the achieved results are reported. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-33018-6_18 | INTERNATIONAL JOINT CONFERENCE CISIS'12 - ICEUTE'12 - SOCO'12 SPECIAL SESSIONS |
Field | DocType | Volume |
Data mining,Computer science,Correlation,SQL injection,Genetic algorithm | Conference | 189 |
ISSN | Citations | PageRank |
2194-5357 | 6 | 0.54 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michal Choras | 1 | 117 | 32.86 |
| Rafal Kozik | 2 | 103 | 33.35 |
| Damian Puchalski | 3 | 8 | 2.00 |
| Witold Holubowicz | 4 | 70 | 15.51 |