Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (6A): 352-359.doi: 10.11896/JsJkx.191200054

• Information Security • Previous Articles     Next Articles

SQL InJection Recognition Based on Improved BP Neural Network

ZHU Jun-wen   

  1. East China University of Political Science and Law,Shanghai 201620,China
  • Published:2020-07-07
  • About author:WU Wan-qing, born in 1981, Ph.D, lecturer.His main research interests include information security and quantum-resistant cryptography.
    ZHOU Guo-long, born in 1996, postgraduate.His main research interests include information security and so on.

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Abstract: At present,the attack defense system of SQL inJection type is mostly designed from the perspective of static single sentence filtering threat statements.In view of its low inJection statement recognition and high false positives,a double-layer SQL inJection defense model is proposed.After the inJection process is continuous,dynamic modeling analysis is carried out,and BP neural network is introduced for self-learning and self-correction.Experiments show that in the Apache＋MySQL environment,this model has a high inJection recognition rate,which has certain advantages for the recognition of SQL inJection.

Key words: Apache＋MySQL environment, BP neural network, Data package, double layer defense system, SQL inJection

CLC Number: 

  • TP393
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