Paper Info
Title
Design and Implementation of an Open Network and Host-Based Intrusion Detection Testbed with an Emphasis on Accuracy and Repeatability
Abstract
The Open Network and Host Based Intrusion Detection Test bed (ONBIT) has been designed to make use of both network and host-based monitoring while validating and evaluating IDS tools and algorithms. This test bed was found to be of critical need for scenarios in which external test beds cannot be used. The ONBIT test bed can be used to verify algorithms, concepts, and protocols, as well as discover more practical problems for future security research. This test bed is unique in its real-time nature and real-world performance and efficiency metrics, critical metrics for capabilities being readied for deployment. The ONBIT test bed was built using open source software and was designed to take accuracy and repeatability into consideration at each step of experimentation. Using a link emulator called Dummy Net, the ONBIT test bed has the ability to control how the network behaves. Dummy Net creates controlled packet loss, introduces latency, and allows for the configuration of various size network pipes. We show the benefit of correlating host-based and network-based IDS data in a real-world demonstration of the testbed's use.
Year
DOI
Venue
2012
10.1109/ITNG.2012.99
ITNG
Keywords
Field
DocType
host-based intrusion detection,open network,efficiency metrics,intrusion detection test bed,test bed,onbit test bed,critical need,ids tool,critical metrics,external test bed,various size network pipe,host-based monitoring,repeatability,servers,bandwidth,computer network security,testing,intrusion detection,computer security,public domain software
Host-based intrusion detection system,Software deployment,Computer science,Network security,Computer network,Testbed,Packet loss,Network simulation,Network Access Control,Intrusion detection system,Embedded system
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
2
Name
Order
Citations
PageRank
Robert F. Erbacher120227.65
Michael J. Shevenell200.34