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Park, N. (2015). Detection Experimentation and Validation of Web Applications using Both Static and Dynamic Analysis. International Information Institute (Tokyo). Information, 18(5 (A)), 1735.

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Article

A Hybrid Algorithm for Detecting Web Based Applications Vulnerabilities

1School of Computing and Informatics, University of Nairobi, Nairobi, Kenya


American Journal of Computing Research Repository. 2016, Vol. 4 No. 1, 15-20
DOI: 10.12691/ajcrr-4-1-3
Copyright © 2016 Science and Education Publishing

Cite this paper:
Muiruri Chris Karumba, Samuel Ruhiu, Christopher A. Moturi. A Hybrid Algorithm for Detecting Web Based Applications Vulnerabilities. American Journal of Computing Research Repository. 2016; 4(1):15-20. doi: 10.12691/ajcrr-4-1-3.

Correspondence to: Muiruri  Chris Karumba, School of Computing and Informatics, University of Nairobi, Nairobi, Kenya. Email: chrismuiruri@yahoo.co.uk

Abstract

Web vulnerability scanners (WVS) are tools for discovering vulnerabilities in a web application. However, they are not 100% accurate. In this paper we develop a hybrid algorithm for detecting web based applications vulnerabilities and compare its performance with other open source WVS. The comparison is based on three metrics namely time taken to scan, detection accuracy and consistency.

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