Mathews, M. LisaHalvorsen, PaulJoshi, AnupamFinin, Tim2018-11-052018-11-052012-10-14M. Lisa Mathews, Paul Halvorsen, Anupam Joshi, and Tim Finin, A Collaborative Approach to Situational Awareness for CyberSecurity, 8th IEEE Int. Conf. on Collaborative Computing: Networking, Applications and Worksharing, DOI: 10.4108/icst.collaboratecom.2012.25079410.4108/icst.collaboratecom.2012.250794http://hdl.handle.net/11603/118618th IEEE Int. Conf. on Collaborative Computing: Networking, Applications and WorksharingTraditional intrusion detection and prevention systems have well known limitations that decrease their utility against many kinds of attacks. Creating a new system that collaboratively combines information from traditional and nontraditional sensors to produce new, relevant signatures is one way to deal with these limitations. In this paper, we present a framework that uses this collaborative approach, as well as the details for a network traffic based classifier that shows promise for detecting malicious traffic.7 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.© 2012 IEEEcybersecurityintrusion detectionsituational awarenessinformation extractionUMBC Ebiquity Research Groupsemantic webA Collaborative Approach to Situational Awareness for CyberSecurityText