Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/9210
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLad, Himani-
dc.date.accessioned2020-07-23T05:56:28Z-
dc.date.available2020-07-23T05:56:28Z-
dc.date.issued2019-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/9210-
dc.description.abstractSecurity testing is an essential part of software testing. If the software or a web application is not secured enough, it is very easy for an attacker to invade the security and do malicious activity. Testing tools used to test the application detects the vulnerability which can be True positive or False Positive. In order to classify them, tester tests these vulnerabilities manually. In this article, we propose an approach that will test two of the popular vulnerabilities Cross Site Scripting(XSS) and Cross Site Request Forgery(CSRF) with a single script and classify them into True positive and False positive. This will reduce the total testing timing as in a single scan both the vulnerabilities will be testeden_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries17MCEI06;-
dc.subjectComputer 2017en_US
dc.subjectProject Report 2017en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject17MCEIen_US
dc.subject17MCEI06en_US
dc.subjectINSen_US
dc.subjectINS 2017en_US
dc.subjectCE (INS)en_US
dc.titleEfficient classiffication of True Positive and False Positive vulnerabilities for XSS and CSRF vulnerabilitiesen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE (INS)

Files in This Item:
File Description SizeFormat 
17MCEI06.pdf17MCEI062.82 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.