SQLiGoT: Detecting SQL injection attacks using graph of tokens and SVM

SQL injection attacks have been predominant on web databases since the last 15 years. Exploiting input validation flaws, attackers inject SQL code through the front-end of websites and steal data from the back-end databases. Detection of SQL injection attacks has been a challenging problem due to ex...

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Veröffentlicht in:	Computers & security Jg. 60; S. 206 - 225
Hauptverfasser:	Kar, Debabrata, Panigrahi, Suvasini, Sundararajan, Srikanth
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Ltd 01.07.2016 Elsevier Sequoia S.A
Schlagworte:	Applications programs Codes Cybersecurity Database firewall Graph of tokens Graphs Heterogeneity Mathematical analysis Node centrality Queries Query languages Query token graph Software SQL injection attack SQL injection detection Structured Query Language-SQL Studies Support vector machine Support vector machines SQL injection attack Query token graph Node centrality Support vector machine SQL injection detection Database firewall Graph of tokens
ISSN:	0167-4048, 1872-6208
Online-Zugang:	Volltext
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