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AAAI
2006
15 years 1 months ago
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions
Intrusion attempts due to self-propagating code are becoming an increasingly urgent problem, in part due to the homogeneous makeup of the internet. Recent advances in anomalybased...
Denver Dash, Branislav Kveton, John Mark Agosta, E...
79
Voted
ICML
2002
IEEE
16 years 13 days 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
KBSE
2005
IEEE
15 years 5 months ago
Designing and implementing a family of intrusion detection systems
Intrusion detection systems are distributed applications that analyze the events in a networked system to identify malicious behavior. The analysis is performed using a number of ...
Richard A. Kemmerer
107
Voted
ISI
2008
Springer
14 years 11 months ago
Real time intrusion prediction, detection and prevention programs
An Intrusion Detection Program (IDP) analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. In this talk, we p...
A. Abraham
CF
2005
ACM
15 years 1 months ago
SPANIDS: a scalable network intrusion detection loadbalancer
Network intrusion detection systems (NIDS) are becoming an increasingly important security measure. With rapidly increasing network speeds, the capacity of the NIDS sensor can lim...
Lambert Schaelicke, Kyle Wheeler, Curt Freeland