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» Graph-based anomaly detection
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102
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ICASSP
2011
IEEE
14 years 7 months ago
Online anomaly detection with expert system feedback in social networks
In this paper, we propose examining the participants in various meetings or communications within a social network, and using sequential inference based on these participant lists...
Corinne Horn, Rebecca Willett
145
Voted
TJS
2010
182views more  TJS 2010»
15 years 1 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
142
Voted
RAID
2009
Springer
15 years 10 months ago
Protecting a Moving Target: Addressing Web Application Concept Drift
Because of the ad hoc nature of web applications, intrusion detection systems that leverage machine learning techniques are particularly well-suited for protecting websites. The re...
Federico Maggi, William K. Robertson, Christopher ...
109
Voted
INFOCOM
2008
IEEE
15 years 10 months ago
Detecting Anomalies Using End-to-End Path Measurements
—In this paper, we propose new “low-overhead” network monitoring techniques to detect violations of path-level QoS guarantees like end-to-end delay, loss, etc. Unlike existin...
K. V. M. Naidu, Debmalya Panigrahi, Rajeev Rastogi
133
Voted
ISSTA
2010
ACM
15 years 7 months ago
Learning from 6, 000 projects: lightweight cross-project anomaly detection
Real production code contains lots of knowledge—on the domain, on the architecture, and on the environment. How can we leverage this knowledge in new projects? Using a novel lig...
Natalie Gruska, Andrzej Wasylkowski, Andreas Zelle...