DocumentCode
3662765
Title
SQL Injection Attack prevention based on decision tree classification
Author
B. Hanmanthu;B. Raghu Ram;P. Niranjan
Author_Institution
Dept. of CSE, Kakatiya Institute of Technology &
fYear
2015
Firstpage
1
Lastpage
5
Abstract
In real world as dependence on World Wide Web applications increasing day by day they transformed vulnerable to security attacks. Out of all the different attacks the SQL Injection Attacks are the most common. In this paper we propose SQL injection vulnerability prevention by decision tree classification technique. The proposed model make use famous decision tree classification model to prevent the SQL injection attacks. The proposed model will filter the sent HTTP request by using a decision tree classification based attack signatures. We test our proposed model on synthetic data which given satisfactory results.
Keywords
"Random access memory","Decision trees","Information filters","Robustness","Uniform resource locators"
Publisher
ieee
Conference_Titel
Intelligent Systems and Control (ISCO), 2015 IEEE 9th International Conference on
Type
conf
DOI
10.1109/ISCO.2015.7282227
Filename
7282227
Link To Document