Sciweavers

31 search results - page 2 / 7
» Detecting Network Anomalies Using CUSUM and EM Clustering
Sort
View
INFOCOM
2010
IEEE
13 years 3 months ago
URCA: Pulling out Anomalies by their Root Causes
—Traffic anomaly detection has received a lot of attention over recent years, but understanding the nature of these anomalies and identifying the flows involved is still a manu...
Fernando Silveira, Christophe Diot
TJS
2010
182views more  TJS 2010»
13 years 3 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
VLDB
2007
ACM
164views Database» more  VLDB 2007»
14 years 5 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
13 years 6 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...
ITIIS
2010
172views more  ITIIS 2010»
13 years 3 months ago
Combining Adaptive Filtering and IF Flows to Detect DDoS Attacks within a Router
Traffic matrix-based anomaly detection and DDoS attacks detection in networks are research focus in the network security and traffic measurement community. In this paper, firstly,...
Ruoyu Yan, Qinghua Zheng, Haifei Li