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AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
15 years 8 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...
RAID
2009
Springer
16 years 1 months ago
Regular Expression Matching on Graphics Hardware for Intrusion Detection
The expressive power of regular expressions has been often exploited in network intrusion detection systems, virus scanners, and spam filtering applications. However, the flexibl...
Giorgos Vasiliadis, Michalis Polychronakis, Spyros...
165
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ISPASS
2008
IEEE
16 years 1 months ago
Conservative vs. Optimistic Parallelization of Stateful Network Intrusion Detection
This paper presents and experimentally evaluates two parallelization strategies for the popular open-source Snort network intrusion detection system (NIDS). Snort identifies intr...
Derek L. Schuff, Yung Ryn Choe, Vijay S. Pai
CVPR
2006
IEEE
16 years 22 days ago
Learning Exemplar-Based Categorization for the Detection of Multi-View Multi-Pose Objects
This paper proposes a novel approach for multi-view multi-pose object detection using discriminative shapebased exemplars. The key idea underlying this method is motivated by nume...
Ying Shan, Feng Han, Harpreet S. Sawhney, Rakesh K...
ICRA
2006
IEEE
106views Robotics» more  ICRA 2006»
16 years 21 days ago
Real-time Object Detection using Segmented and Grayscale Images
- This paper describes an approach that performs visual object detection in real-time by combining the strength of processing the color segmented image along with that of the grays...
Juan Fasola, Manuela M. Veloso