﻿<?xml version="1.0" encoding="UTF-8"?>
<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>American Journal of Computing Research Repository</journalTitle>
    <publicationDate>2016-02-17</publicationDate>
    <volume>4</volume>
    <issue>1</issue>
    <startPage>15</startPage>
    <endPage>20</endPage>
    <doi>10.12691/ajcrr-4-1-3</doi>
    <publisherRecordId>AJCRR2016413</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">A Hybrid Algorithm for Detecting Web Based Applications Vulnerabilities</title>
    <authors>
      <author>
        <name>Muiruri Chris Karumba</name>
        <email>chrismuiruri@yahoo.co.uk</email>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Samuel Ruhiu</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Christopher A. Moturi</name>
        <affiliationId>1</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">School of Computing and Informatics, University of Nairobi, Nairobi, Kenya</affiliationName>
    </affiliationsList>
    <abstract language="eng">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.</abstract>
    <fullTextUrl format="pdf">http://pubs.sciepub.com/ajcrr/4/1/3/ajcrr-4-1-3.pdf</fullTextUrl>
    <keywords language="eng">
      <keyword>web vulnerability scanners</keyword>
      <keyword>open source</keyword>
      <keyword>algorithm</keyword>
      <keyword>web based applications</keyword>
    </keywords>
  </record>
</records>