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Author:

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

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

Template matching Genetic algorithms Network security

Author Community:

  • [ 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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Source :

ISSN: 1743-3517

Year: 2014

Volume: 49

Page: 291-303

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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