Zero-Day Attack Detection Using Collaborative and Transduction-Based Anomaly Detectors

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dc.contributor.advisorStavrou, Angelos
dc.contributor.authorHiremagalore, Sharath
dc.creatorHiremagalore, Sharath
dc.date.accessioned2015-09-14T14:22:00Z
dc.date.available2015-09-14T14:22:00Z
dc.date.issued2015
dc.description.abstractWeb applications have emerged as the primary means of access to vital and sensitive services such as online payment systems and databases storing personally identifiable information. Unfortunately, the need for ubiquitous and often anonymous access exposes web servers to adversaries. Indeed, network-borne zero-day attacks pose a critical and widespread threat to web servers that cannot be mitigated by the use of signature-based intrusion detection systems.
dc.format.extent99 pages
dc.identifier.urihttps://hdl.handle.net/1920/9882
dc.language.isoen
dc.rightsCopyright 2015 Sharath Hiremagalore
dc.subjectComputer science
dc.subjectAnomaly Detection
dc.subjectCollaborative Security
dc.subjectNetwork Intrusion Detection System
dc.subjectTransdcution Confidence Machines
dc.subjectWeb Security
dc.subjectZero-day Attacks
dc.titleZero-Day Attack Detection Using Collaborative and Transduction-Based Anomaly Detectors
dc.typeDissertation
thesis.degree.disciplineComputer Science
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral

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