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CIA
2008
Springer
13 years 9 months ago
Trust-Based Classifier Combination for Network Anomaly Detection
Abstract. We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. O...
Martin Rehák, Michal Pechoucek, Martin Gril...
HICSS
2003
IEEE
184views Biometrics» more  HICSS 2003»
14 years 26 days ago
Content Based File Type Detection Algorithms
Identifying the true type of a computer file can be a difficult problem. Previous methods of file type recognition include fixed file extensions, fixed “magic numbers” stored ...
Mason McDaniel, Mohammad Hossain Heydari
SMC
2007
IEEE
130views Control Systems» more  SMC 2007»
14 years 1 months ago
A flow based approach for SSH traffic detection
— The basic objective of this work is to assess the utility of two supervised learning algorithms AdaBoost and RIPPER for classifying SSH traffic from log files without using f...
Riyad Alshammari, A. Nur Zincir-Heywood
CVPR
2006
IEEE
14 years 9 months ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
14 years 8 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...