A Collaborative Approach to Situational Awareness for CyberSecurity

dc.contributor.authorMathews, M. Lisa
dc.contributor.authorHalvorsen, Paul
dc.contributor.authorJoshi, Anupam
dc.contributor.authorFinin, Tim
dc.date.accessioned2018-11-05T15:56:08Z
dc.date.available2018-11-05T15:56:08Z
dc.date.issued2012-10-14
dc.description8th IEEE Int. Conf. on Collaborative Computing: Networking, Applications and Worksharingen_US
dc.description.abstractTraditional 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_US
dc.description.urihttps://ieeexplore.ieee.org/document/6450910en_US
dc.format.extent7 pagesen_US
dc.genreconference papers and proceedings pre-printen_US
dc.identifierdoi:10.13016/M2445HG8H
dc.identifier.citationM. 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.2012.250794en_US
dc.identifier.uri10.4108/icst.collaboratecom.2012.250794
dc.identifier.urihttp://hdl.handle.net/11603/11861
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis 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.subjectcybersecurityen_US
dc.subjectintrusion detectionen_US
dc.subjectsituational awarenessen_US
dc.subjectinformation extractionen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.subjectsemantic weben_US
dc.titleA Collaborative Approach to Situational Awareness for CyberSecurityen_US
dc.typeTexten_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
650.pd.pdf
Size:
1.44 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.68 KB
Format:
Item-specific license agreed upon to submission
Description: