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General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
University of South Australia, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the filed of information and education technology.
IJIET 2015 Vol.5(2): 150-155 ISSN: 2010-3689
DOI: 10.7763/IJIET.2015.V5.493

Neural Network Approach to Web Application Protection

Jane Jaleel Stephan, Sahab Dheyaa Mohammed, and Mohammed Khudhair Abbas
Abstract—The rapid growth of internet has created many services, which have become an integral part of our day in today life by using Web applications for making reservations, paying bills, and shopping on-line.
The vulnerabilities in web application code provide an opportunity to the attack to be entre on applications level. Most network firewalls and antivirus software programs cannot stop attacks at the application level.
In this paper, we have developed a prototypic web application firewall to detect new types of attacks that do not require signature updates, using a neural network back-propagation approach for identifying attacks that were not detected at the stage of signature analysis.
The solution has been experimented on some parameters and some additional information about the user behaviors when the user accesses the web application and makes application-level control of the firewall in the framework of the scope of the WEB-application.
The system is found to have good performance in comparing and matching the test patterns with already stored patterns and from (24) test data, (95%) success rate have been correctly recognized.

Index Terms—Web applications firewall, signature, artificial neural network.

The authors are with Iraqi Commission for Computers and Informatics, Ministry of Higher Education and Scientific Research, Iraq (e-mail: janejaleel@yahoo.com, Sahab7dia@yahoo.com, mohammedalaaly@yahoo.com).

[PDF]

Cite: Jane Jaleel Stephan, Sahab Dheyaa Mohammed, and Mohammed Khudhair Abbas, "Neural Network Approach to Web Application Protection," International Journal of Information and Education Technology vol. 5, no. 2, pp. 150-155, 2015.

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