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» Detecting Change in Data Streams
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SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
14 years 6 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
13 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...
JSAC
2006
165views more  JSAC 2006»
13 years 9 months ago
Image-Based Anomaly Detection Technique: Algorithm, Implementation and Effectiveness
The frequent and large-scale network attacks have led to an increased need for developing techniques for analyzing network traffic. This paper presents NetViewer, a network measure...
Seong Soo Kim, A. L. Narasimha Reddy
IMC
2005
ACM
14 years 2 months ago
Combining Filtering and Statistical Methods for Anomaly Detection
In this work we develop an approach for anomaly detection for large scale networks such as that of an enterprize or an ISP. The traffic patterns we focus on for analysis are that...
Augustin Soule, Kavé Salamatian, Nina Taft
ISCI
2002
86views more  ISCI 2002»
13 years 8 months ago
Schedulable region for VBR media transmission with optimal resource allocation and utilization
Media data are VBR in nature due to the coding and compression technologies applied. As VBR streams are complicated for network management, different approaches were proposed to s...
Ray-I Chang, Meng Chang Chen, Jan-Ming Ho, Ming-Ta...