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ICIAP
2005
ACM
15 years 9 months ago
Learning Intrusion Detection: Supervised or Unsupervised?
Abstract. Application and development of specialized machine learning techniques is gaining increasing attention in the intrusion detection community. A variety of learning techniq...
Pavel Laskov, Patrick Düssel, Christin Sch&au...
ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
14 years 11 months 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...
WEBI
2005
Springer
15 years 3 months ago
Network-Based Intrusion Detection Using Adaboost Algorithm
Intrusion detection on the internet is a heated research field in computer science, where much work has been done during the past two decades. In this paper, we build a network-b...
Wei Hu, Weiming Hu
69
Voted
ISDA
2005
IEEE
15 years 3 months ago
IDEAS: Intrusion Detection based on Emotional Ants for Sensors
Due to the wide deployment of sensor networks recently security in sensor networks has become a hot research topic. Popular ways to secure a sensor network are by including crypto...
Soumya Banerjee, Crina Grosan, Ajith Abraham
ICAI
2008
14 years 11 months ago
Online Boosting Based Intrusion Detection in Changing Environments
Intrusion detection is an active research field in the development of reliable web-based information systems, where many artificial intelligence techniques are exploited to fit th...
Yanguo Wang, Weiming Hu, Xiaoqin Zhang