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» Network-Based Intrusion Detection Using Adaboost Algorithm
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ICMCS
2006
IEEE
153views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Learning-Based Interactive Video Retrieval System
This paper presents an interactive video event retrieval system based on improved adaboost learning. This system consists of three main steps. Firstly, a long video sequence is pa...
Chi-Jiunn Wu, Hui-Chi Zeng, Szu-Hao Huang, Shang-H...
CVPR
2006
IEEE
16 years 29 days ago
Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment
Automatic polyp detection is an increasingly important task in medical imaging with virtual colonoscopy [15] being widely used. In this paper, we present a 3D object detection alg...
Zhuowen Tu, Xiang Sean Zhou, Luca Bogoni, Adrian B...
IJDSN
2006
136views more  IJDSN 2006»
14 years 11 months ago
Intrusion Detection for Routing Attacks in Sensor Networks
Security is a critical challenge for creating robust and reliable sensor networks. For example, routing attacks have the ability to disconnect a sensor network from its central ba...
Chong Eik Loo, Mun Yong Ng, Christopher Leckie, Ma...
ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
15 years 22 days ago
Behavior Analysis-Based Learning Framework for Host Level Intrusion Detection
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
ACSC
2005
IEEE
15 years 4 months ago
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
Kingsly Leung, Christopher Leckie