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dc.rights.licenseIn Copyrighten_US
dc.creatorJang, Han Gil (Paul)
dc.date.accessioned2015-07-29T17:46:21Z
dc.date.available2015-07-29T17:46:21Z
dc.date.created2015
dc.identifierWLURG38_Jang_CSCI_2015
dc.identifier.urihttp://hdl.handle.net/11021/32153
dc.descriptionThesis; [FULL-TEXT FREELY AVAILABLE ONLINE]en_US
dc.descriptionHan Gil (Paul) Jang is a member of the Class of 2015 of Washington and Lee University.en_US
dc.description.abstractWith the increase in the use of the web and security threats on web applications also at its highest point, the need for better security measures also increases. In this thesis we present a customizable method of automatically detecting malicious user activity for web applications. The customizable method has four phases. First, the method is uses information gathered from the web application access logs to represent the data in a certain way to create individual and typical user profiles. Then with the profile it goes through the training phase to compare the different profiles to create a threshold. Then threshold is then used to decide whether or not a new user is a malicious user or not. Finally, with new incoming information and the testing results, the system is calibrated to provide improved results in the future. In this thesis the design, implementation and results from a prototype following the method is presented as well as recommendations for security admins to follow in implementing this method into current web applications.en_US
dc.format.extent39 pagesen_US
dc.language.isoen_USen_US
dc.rightsThis material is made available for use in research, teaching, and private study, pursuant to U.S. Copyright law. The user assumes full responsibility for any use of the materials, including but not limited to, infringement of copyright and publication rights of reproduced materials. Any materials used should be fully credited with the source.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.subject.otherWashington and Lee University -- Honors in Computer Scienceen_US
dc.titleCustomizable Method of Automatically Detecting Malicious User Activity in Web Applications (thesis)en_US
dc.typeTexten_US
dcterms.isPartOfRG38 - Student Papers
dc.rights.holderJang, Han Gil (Paul)
dc.subject.fastWeb sites -- Security measuresen_US
dc.subject.fastWeb site developmenten_US
dc.subject.fastHackingen_US
local.departmentComputer Scienceen_US
local.scholarshiptypeHonors Thesisen_US


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