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PAMI
2006
193views more  PAMI 2006»
13 years 8 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...
JAIR
2010
181views more  JAIR 2010»
13 years 2 months ago
Intrusion Detection using Continuous Time Bayesian Networks
Intrusion detection systems (IDSs) fall into two high-level categories: network-based systems (NIDS) that monitor network behaviors, and host-based systems (HIDS) that monitor sys...
Jing Xu, Christian R. Shelton
SIGCOMM
2009
ACM
14 years 2 months ago
Impact of IT monoculture on behavioral end host intrusion detection
In this paper, we study the impact of today’s IT policies, defined based upon a monoculture approach, on the performance of endhost anomaly detectors. This approach leads to th...
Dhiman Barman, Jaideep Chandrashekar, Nina Taft, M...
IPCCC
2007
IEEE
14 years 2 months ago
SpyCon: Emulating User Activities to Detect Evasive Spyware
The success of any spyware is determined by its ability to evade detection. Although traditional detection methodologies employing signature and anomaly based systems have had rea...
Madhusudhanan Chandrasekaran, Vidyaraman Vidyarama...
CIA
2007
Springer
14 years 2 months ago
High-Performance Agent System for Intrusion Detection in Backbone Networks
Abstract. This paper presents a design of high-performance agentbased intrusion detection system designed for deployment on high-speed network links. To match the speed requirement...
Martin Rehák, Michal Pechoucek, Pavel Celed...