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» Autonomic Intrusion Detection System
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APNOMS
2008
Springer
13 years 9 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
FORTE
2004
13 years 9 months ago
A Temporal Logic Based Framework for Intrusion Detection
Abstract. We propose a framework for intrusion detection that is based on runtime monitoring of temporal logic specifications. We specify intrusion patterns as formulas in an expre...
Prasad Naldurg, Koushik Sen, Prasanna Thati
GLOBECOM
2006
IEEE
14 years 1 months ago
A Game Theoretic Approach to Detect Network Intrusions: The Cooperative Intruders Scenario
Abstract— In this paper, we consider the problem of detecting intrusions initiated by cooperative malicious nodes in infrastructure-based networks. We achieve this objective by s...
Mona Mehrandish, Hadi Otrok, Mourad Debbabi, Chadi...
AAAI
2006
13 years 9 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...
ACSAC
2003
IEEE
13 years 11 months ago
Bayesian Event Classification for Intrusion Detection
Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of lega...
Christopher Krügel, Darren Mutz, William K. R...