A GA-based approach for SQL-injection detection - 文章详情页

作者：

Chen, Jianmin (Chen, Jianmin.) | Yang, Lin (Yang, Lin.) | Zhang, Honghao (Zhang, Honghao.) | Liu, Yan (Liu, Yan.)

收录：

EI Scopus

摘要：

In　order　to　deal　with　serious　security　threats　of　SQL　injection　to　Web　applications,　this　paper　proposes　a　novel　SQL-injection　detection　method　based　on　genetic　algorithm　(GA).　A　unified　description　for　characteristics　of　SQL-injection　was　issued　by　regular　expression,　and　an　optimized　SQL-injection　sequence　motherboard　was　got　through　GA.　We　detected　harmful　levels　of　SQL-injection　attacks　using　template　matching　and　achieved　optimized　correction　scheme　of　the　algorithm　by　a　large　amount　of　data.　©　2014　WIT　Press.

关键词：

Template matching Genetic algorithms Network security

作者机构：

[ 1 ] [Chen, Jianmin]College of Computer Science, Beijing University of Technology, Beijing, China
[ 2 ] [Chen, Jianmin]National Computer Virus Emergency Response Center, Tianjin, China
[ 3 ] [Yang, Lin]Tianjin Key Lab of Intelligent Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, China
[ 4 ] [Zhang, Honghao]Tianjin Key Lab of Intelligent Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, China
[ 5 ] [Liu, Yan]National Computer Virus Emergency Response Center, Tianjin, China

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