A Hybrid Algorithm for Detecting Web Based Applications Vulnerabilities

dc.contributor.author	Karumba, Muiruri Chris
dc.contributor.author	Ruhiu, Samuel
dc.contributor.author	Moturi, Christopher A
dc.date.accessioned	2016-06-06T16:29:27Z
dc.date.available	2016-06-06T16:29:27Z
dc.date.issued	2016
dc.identifier.citation	American Journal of Computing Research Repository Vol. 4, No. 1, 2016, pp 15-20.	en_US
dc.identifier.uri	http://pubs.sciepub.com/ajcrr/4/1/3/
dc.identifier.uri	http://hdl.handle.net/11295/96046
dc.description.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.	en_US
dc.language.iso	en	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.title	A Hybrid Algorithm for Detecting Web Based Applications Vulnerabilities	en_US
dc.type	Article	en_US

Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States