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» An efficient data structure for network anomaly detection
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ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
14 years 1 months ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
VLDB
2007
ACM
164views Database» more  VLDB 2007»
14 years 8 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...
ISNN
2005
Springer
14 years 1 months ago
Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier
As a crucial issue in computer network security, anomaly detection is receiving more and more attention from both application and theoretical point of view. In this paper, a novel ...
Hanghang Tong, Chongrong Li, Jingrui He, Jiajian C...
SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
14 years 5 months ago
Detection and Characterization of Anomalies in Multivariate Time Series.
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
SAINT
2003
IEEE
14 years 1 months ago
On Ubiquitous Network Security and Anomaly Detection
As networking trends move toward ubiquitous structuring schemes, the problem of security has taken on an increasingly important role. As a result, we must look to new security par...
Colin Van Dyke, Çetin Kaya Koç