KNOWLEDGE NEEDS AND DATA SECURITY AS THEY APPLY TO NETWORK INTRUSION DETECTION SYSTEMS

Abstract

This research 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. This study 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.