A Collaborative Approach to Situational Awareness for CyberSecurity
| dc.contributor.author | Mathews, M. Lisa | |
| dc.contributor.author | Halvorsen, Paul | |
| dc.contributor.author | Joshi, Anupam | |
| dc.contributor.author | Finin, Tim | |
| dc.date.accessioned | 2018-11-05T15:56:08Z | |
| dc.date.available | 2018-11-05T15:56:08Z | |
| dc.date.issued | 2012-10-14 | |
| dc.description | 8th IEEE Int. Conf. on Collaborative Computing: Networking, Applications and Worksharing | en |
| dc.description.abstract | Traditional 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. | en |
| dc.description.uri | https://ieeexplore.ieee.org/document/6450910 | en |
| dc.format.extent | 7 pages | en |
| dc.genre | conference papers and proceedings pre-print | en |
| dc.identifier | doi:10.13016/M2445HG8H | |
| dc.identifier.citation | M. 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.2012.250794 | en |
| dc.identifier.uri | 10.4108/icst.collaboratecom.2012.250794 | |
| dc.identifier.uri | http://hdl.handle.net/11603/11861 | |
| dc.language.iso | en | en |
| dc.publisher | IEEE | en |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This 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. | |
| dc.rights | © 2012 IEEE | |
| dc.subject | cybersecurity | en |
| dc.subject | intrusion detection | en |
| dc.subject | situational awareness | en |
| dc.subject | information extraction | en |
| dc.subject | UMBC Ebiquity Research Group | en |
| dc.subject | semantic web | en |
| dc.title | A Collaborative Approach to Situational Awareness for CyberSecurity | en |
| dc.type | Text | en |