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SEC
1996
15 years 3 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
RAID
1999
Springer
15 years 6 months ago
IDS Standards: Lessons Learned to Date
: I will discuss two efforts to get Intrusion Detection Systems to work together - the Common Intrusion Detection Framework (CIDF), and the IETF's working group to develop an ...
Stuart Staniford-Chen
ICONIP
2008
15 years 3 months ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
GIS
2009
ACM
15 years 6 months ago
Machine learning approach to report prioritization with an application to travel time dissemination
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
Piotr Szczurek, Bo Xu, Jie Lin, Ouri Wolfson
IJCNN
2008
IEEE
15 years 8 months ago
Extreme learning machine for multi-categories classification applications
Hai-Jun Rong, Guang-Bin Huang, Yew-Soon Ong