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An Autonomic Framework for Integrating Security and Quality of Service Support in Databases

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dc.contributor.advisor Menasce, Daniel A.
dc.contributor.author Alomari, Firas
dc.creator Alomari, Firas en_US
dc.date.accessioned 2013-08-09T15:40:05Z
dc.date.available 2013-08-09T15:40:05Z
dc.date.issued 2013 en_US
dc.identifier.uri https://hdl.handle.net/1920/8282
dc.description.abstract The back-end databases of multi-tiered applications are a major data security concern for enterprises. The abundance of these systems and the emergence of new and different threats require multiple and overlapping security mechanisms. Therefore, providing multiple and diverse database intrusion detection and prevention systems (IDPS) is a critical component of the defense-in-depth strategy for DB information systems. At the same time, an e-business application is expected to process requests with a certain service quality to maintain current customers and attract new ones. It would then be advantageous to use the combination of IDPSs that best meets the security and QoS concerns of the system stakeholders for each workload intensity level. Due to the dynamic variability of the workload intensity, it is not feasible for human beings to continuously reconfigure the system. It is therefore important that current systems be built with adaptive capabilities that can --at run time-- dynamically respond to changes in it is surroundings.
dc.format.extent 126 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2013 Firas Alomari en_US
dc.subject Information technology en_US
dc.subject Computer science en_US
dc.subject Adaptation en_US
dc.subject Autonomic en_US
dc.subject Database en_US
dc.subject Intrusion Detection en_US
dc.subject Performance en_US
dc.subject Security en_US
dc.title An Autonomic Framework for Integrating Security and Quality of Service Support in Databases en_US
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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