Paper Info
Title
Detecting web application attacks with use of gene expression programming
Abstract
In the paper we present a novel approach based on applying a modern metaheuristic Gene Expression Programming (GEP) to detecting web application attacks. This class of attacks relates to malicious activity of an intruder against applications, which use a database for storing data. The application uses SQL to retrieve data from the database and web server mechanisms to put them in a web browser. A poor implementation allows an attacker to modify SQL statements originally developed by a programmer, which leads to stealing or modifying data to which the attacker has not privileges. While the attack consists in modification of SQL queries sent to the database, they are the only one source of information used for detecting attacks. Intrusion detection problem is transformed into classification problem, which the objective is to classify SQL queries between either normal or malicious queries. GEP is used to find a function used for classification of SQL queries. Experimental results are presented on the basis of SQL queries of different length. The findings show that the efficiency of detecting SQL statements representing attacks depends on the length of SQL statements. Additionally we studied the impact of classification threshold on the obtained results.
Year
DOI
Venue
2009
10.1109/CEC.2009.4983190
IEEE Congress on Evolutionary Computation
Keywords
Field
DocType
gene expression programming,web server mechanism,different length,classification threshold,modifying data,detecting web application attack,web browser,classification problem,sql statement,sql query,storing data,web application attack,computer science,information retrieval,genetic algorithms,phase detection,sql,genetics,data security,security,application software,sensitivity,data retrieval,information technology,testing,web server,gene expression,intrusion detection,databases
SQL,Data mining,Stored procedure,Computer science,Data Transformation Services,Data definition language,Query by Example,User-defined function,SQL injection,Null (SQL)
Conference
ISBN
Citations 
PageRank 
978-1-4244-2959-2
0
0.34
References 
Authors
7
2
Name
Order
Citations
PageRank
Jaroslaw Skaruz1489.39
Franciszek Seredynski236655.06