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APNOMS
2008
Springer
15 years 5 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
127
Voted
IEEEARES
2010
IEEE
15 years 5 months ago
Improving Network Intrusion Detection by Means of Domain-Aware Genetic Programming
—One of the central areas in network intrusion detection is how to build effective systems that are able to distinguish normal from intrusive traffic. In this paper we explore t...
Jorge Blasco Alís, Agustín Orfila, A...
110
Voted
FORTE
2004
15 years 4 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
CORR
2010
Springer
123views Education» more  CORR 2010»
15 years 3 months ago
Integrating Innate and Adaptive Immunity for Intrusion Detection
Abstract. Network Intrusion Detection Systems (NIDS) monitor a network with the aim of discerning malicious from benign activity on that network. While a wide range of approaches h...
Gianni Tedesco, Jamie Twycross, Uwe Aickelin
160
Voted
TSMC
2002
134views more  TSMC 2002»
15 years 3 months ago
Incorporating soft computing techniques into a probabilistic intrusion detection system
There are a lot of industrial applications that can be solved competitively by hard computing, while still requiring the tolerance for imprecision and uncertainty that can be explo...
Sung-Bae Cho