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ICML
2002
IEEE
16 years 4 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
DAGSTUHL
2006
15 years 5 months ago
SANA - Security Analysis in Internet Traffic through Artificial Immune Systems
The Attacks done by Viruses, Worms, Hackers, etc. are a Network Security-Problem in many Organisations. Current Intrusion Detection Systems have significant Disadvantages, e.g. the...
Michael Hilker, Christoph Schommer
CN
2007
106views more  CN 2007»
15 years 4 months ago
Learning DFA representations of HTTP for protecting web applications
Intrusion detection is a key technology for self-healing systems designed to prevent or manage damage caused by security threats. Protecting web server-based applications using in...
Kenneth L. Ingham, Anil Somayaji, John Burge, Step...
GECCO
2004
Springer
121views Optimization» more  GECCO 2004»
15 years 9 months ago
Vulnerability Analysis of Immunity-Based Intrusion Detection Systems Using Evolutionary Hackers
Artificial Immune Systems (AISs) are biologically inspired problem solvers that have been used successfully as intrusion detection systems (IDSs). This paper describes how the des...
Gerry V. Dozier, Douglas Brown, John Hurley, Kryst...
ATAL
2009
Springer
15 years 8 months ago
Dynamic information source selection for intrusion detection systems
Our work presents a mechanism designed for the selection of the optimal information provider in a multi-agent, heterogeneous and unsupervised monitoring system. The selfadaptation...
Martin Rehák, Eugen Staab, Michal Pechoucek...