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FLAIRS
2003
14 years 11 months ago
LIDS: Learning Intrusion Detection System
The detection of attacks against computer networks is becoming a harder problem to solve in the field of network security. The dexterity of the attackers, the developing technolog...
Mayukh Dass, James Cannady, Walter D. Potter
CCS
2011
ACM
13 years 9 months ago
MIDeA: a multi-parallel intrusion detection architecture
Network intrusion detection systems are faced with the challenge of identifying diverse attacks, in extremely high speed networks. For this reason, they must operate at multi-Giga...
Giorgos Vasiliadis, Michalis Polychronakis, Sotiri...
ICML
2002
IEEE
15 years 10 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
RAID
2004
Springer
15 years 3 months ago
Anomalous Payload-Based Network Intrusion Detection
We present a payload-based anomaly detector, we call PAYL, for intrusion detection. PAYL models the normal application payload of network traffic in a fully automatic, unsupervised...
Ke Wang, Salvatore J. Stolfo
SIGMETRICS
2008
ACM
111views Hardware» more  SIGMETRICS 2008»
14 years 9 months ago
Predicting the resource consumption of network intrusion detection systems
Abstract. When installing network intrusion detection systems (NIDSs), operators are faced with a large number of parameters and analysis options for tuning trade-offs between dete...
Holger Dreger, Anja Feldmann, Vern Paxson, Robin S...