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» Combined Data Mining Approach for Intrusion Detection
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SOFTCOMP
2010
13 years 7 months ago
Approaching Real-Time Intrusion Detection through MOVICAB-IDS
Abstract This paper presents an extension of MOVICAB-IDS, a Hybrid Intelligent Intrusion Detection System characterized by incorporating temporal control to enable real-time proces...
Martí Navarro, Álvaro Herrero, Emili...
ACSAC
2000
IEEE
14 years 1 months ago
Two State-based Approaches to Program-based Anomaly Detection
This paper describes two recently developed intrusion detection algorithms, and gives experimental results on their performance. The algorithms detect anomalies in execution audit...
Christoph C. Michael, Anup K. Ghosh
ICML
2002
IEEE
14 years 9 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
APNOMS
2008
Springer
13 years 10 months ago
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
Huy Anh Nguyen, Deokjai Choi
ICIAP
2005
ACM
14 years 8 months ago
Analyzing TCP Traffic Patterns Using Self Organizing Maps
The continuous evolution of the attacks against computer networks has given renewed strength to research on anomaly based Intrusion Detection Systems, capable of automatically dete...
Stefano Zanero