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ICNS
2007
IEEE
14 years 1 months ago
Data fusion algorithms for network anomaly detection: classification and evaluation
In this paper, the problem of discovering anomalies in a large-scale network based on the data fusion of heterogeneous monitors is considered. We present a classification of anoma...
Vasilis Chatzigiannakis, Georgios Androulidakis, K...
WWW
2008
ACM
14 years 8 months ago
Web graph similarity for anomaly detection (poster)
Web graphs are approximate snapshots of the web, created by search engines. Their creation is an error-prone procedure that relies on the availability of Internet nodes and the fa...
Panagiotis Papadimitriou 0002, Ali Dasdan, Hector ...
TMA
2010
Springer
314views Management» more  TMA 2010»
14 years 2 months ago
On the Use of TCP Passive Measurements for Anomaly Detection: A Case Study from an Operational 3G Network
In this work we discuss the use of passive measurements of TCP performance indicators in support of network operation and troubleshooting, presenting a case-study from a real 3G ce...
Peter Romirer-Maierhofer, Angelo Coluccia, Tobias ...
RAID
2009
Springer
14 years 2 months ago
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
Gabriela F. Cretu-Ciocarlie, Angelos Stavrou, Mich...
IJNSEC
2007
125views more  IJNSEC 2007»
13 years 7 months ago
An Observation-Centric Analysis on the Modeling of Anomaly-based Intrusion Detection
It is generally agreed that two key points always attract special concerns during the modelling of anomaly-based intrusion detection. One is the techniques about discerning two cl...
Zonghua Zhang, Hong Shen, Yingpeng Sang