Paper Info
Title
Distributed Sensor Objects for Intrusion Detection Systems
Abstract
Effective intrusion detection requires the analysis of enormous volumes of data collected from distributed sensor objects. Traditionally, this analysis has been performed on central servers. The alternative has been to limit data collection to network flow data, with the side effect of reducing intrusion detection effectiveness. This research examined an alternative, namely the incorporation of more intelligent sensor objects. We discuss the infrastructure required to support such a metaphor, the potential tradeoffs, and a novel algorithm for such an intelligent distributed sensor object.
Year
DOI
Venue
2012
10.1109/ITNG.2012.100
Information Technology: New Generations
Keywords
Field
DocType
data collection,potential tradeoffs,network flow data,intrusion detection effectiveness,intrusion detection systems,novel algorithm,sensor objects,effective intrusion detection,intelligent sensor object,enormous volume,central server,sensor object,feature extraction,servers,html,vectors,intrusion detection,intrusion detection system,intelligent sensors,computer architecture,network performance,software architecture
Flow network,Data collection,Host-based intrusion detection system,Intelligent sensor,Computer science,Server,Real-time computing,Software architecture,Intrusion detection system,Distributed computing,Network performance
Conference
ISBN
Citations 
PageRank 
978-1-4673-0798-7
1
0.38
References 
Authors
8
2
Name
Order
Citations
PageRank
Robert F. Erbacher120227.65
Steve Hutchinson2214.59