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Knowledge needs and data security as they apply to network intrusion detection systems

Posted on:2005-12-16Degree:D.ScType:Dissertation
University:Robert Morris UniversityCandidate:Mance, Charles AFull Text:PDF
GTID:1458390008497290Subject:Computer Science
Abstract/Summary:
This field project examines users of network intrusion detection systems (NIDS) in an effort to identify their understanding of NIDS. Thirty participants were studied using a qualitative case study methodology. The research questions that formulated this study were focused on security analysts and managers responsible for operations, implementation, and the management of network intrusion detection systems and patterns of knowledge awareness related to the technology. Knowledge levels were categorized using Bloom's Taxonomy of Cognitive Learning. This research provides recommendations for improving the level of knowledge in an effort to enhance the overall understanding of the technology, which in turn may strengthen data network security. The significance of this study is to raise management's level of awareness in an effort to improve training, enhance the selection of security analysts, and enhance the selection of data security service providers.
Keywords/Search Tags:Network intrusion detection, Security, Data
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