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» Intrusion Detection: Systems and Models
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ICML
2002
IEEE
16 years 7 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
SIGCOMM
2009
ACM
16 years 25 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...
EUROPAR
2006
Springer
15 years 10 months ago
Supporting a Real-Time Distributed Intrusion Detection Application on GATES
Increasingly, a number of applications across computer sciences and other science and engineering disciplines rely on, or can potentially benefit from, analysis and monitoring of d...
Qian Zhu, Liang Chen, Gagan Agrawal
TEC
2002
166views more  TEC 2002»
15 years 6 months ago
An artificial immune system architecture for computer security applications
With increased global interconnectivity, reliance on e-commerce, network services, and Internet communication, computer security has become a necessity. Organizations must protect ...
Paul K. Harmer, Paul D. Williams, Gregg H. Gunsch,...
DSOM
2009
Springer
16 years 27 days ago
Hidden Markov Model Modeling of SSH Brute-Force Attacks
Abstract. Nowadays, network load is constantly increasing and high-speed infrastructures (1-10Gbps) are becoming increasingly common. In this context, flow-based intrusion detecti...
Anna Sperotto, Ramin Sadre, Pieter-Tjerk de Boer, ...