Sciweavers

531 search results - page 34 / 107
» Unsupervised learning techniques for an intrusion detection ...
Sort
View
ACSAC
2006
IEEE
15 years 5 months ago
Specification-Based Intrusion Detection in WLANs
Wireless networking technologies based on the IEEE 802.11 series of standards fail to authenticate management frames and network card addresses and suffer from serious vulnerabili...
Rupinder Gill, Jason Smith, Andrew Clark
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 1 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
CORR
2010
Springer
143views Education» more  CORR 2010»
15 years 1 months ago
Dendritic Cells for Anomaly Detection
Artificial immune systems, more specifically the negative selection algorithm, have previously been applied to intrusion detection. The aim of this research is to develop an intrus...
Julie Greensmith, Jamie Twycross, Uwe Aickelin
132
Voted
SEC
1996
15 years 2 months ago
Intention modelling: approximating computer user intentions for detection and prediction of intrusions
This paper introduces and describes an innovative modelling approach which utilises models that are synthesised through approximate calculations of user actions and extensive repr...
Thomas Spyrou, John Darzentas
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
15 years 3 months ago
Service-independent payload analysis to improve intrusion detection in network traffic
The popularity of computer networks broadens the scope for network attackers and increases the damage these attacks can cause. In this context, Intrusion Detection Systems (IDS) a...
Iñigo Perona, Ibai Gurrutxaga, Olatz Arbela...