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

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dc.contributor.advisor Stavrou, Angelos
dc.contributor.author Hiremagalore, Sharath
dc.creator Hiremagalore, Sharath
dc.date.accessioned 2015-09-14T14:22:00Z
dc.date.available 2015-09-14T14:22:00Z
dc.date.issued 2015
dc.identifier.uri http://hdl.handle.net/1920/9882
dc.description.abstract Web 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.extent 99 pages
dc.language.iso en
dc.rights Copyright 2015 Sharath Hiremagalore
dc.subject Computer science
dc.subject Anomaly Detection
dc.subject Collaborative Security
dc.subject Network Intrusion Detection System
dc.subject Transdcution Confidence Machines
dc.subject Web Security
dc.subject Zero-day Attacks
dc.title Zero-Day Attack Detection Using Collaborative and Transduction-Based Anomaly Detectors
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Computer Science en
thesis.degree.grantor George Mason University en


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