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» Host Based Intrusion Detection using Machine Learning
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ICML
2002
IEEE
14 years 6 months ago
Learning to Share Distributed Probabilistic Beliefs
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
Christopher Leckie, Kotagiri Ramamohanarao
ACSAC
1998
IEEE
13 years 10 months ago
NetSTAT: A Network-Based Intrusion Detection Approach
Network-based attacks have become common and sophisticated. For this reason, intrusion detection systems are now shifting their focus from the hosts and their operating systems to...
Giovanni Vigna, Richard A. Kemmerer
SIGCOMM
2009
ACM
14 years 4 days 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...
ISSA
2008
13 years 7 months ago
Immune System Based Intrusion Detection System
The threats and intrusions in IT systems can basically be compared to human diseases with the difference that the human body has an effective way to deal with them, what still nee...
Christoph Ehret, Ulrich Ultes-Nitsche
NDSS
2005
IEEE
13 years 11 months ago
Enriching Intrusion Alerts Through Multi-Host Causality
Current intrusion detection systems point out suspicious states or events but do not show how the suspicious state or events relate to other states or events in the system. We sho...
Samuel T. King, Zhuoqing Morley Mao, Dominic G. Lu...