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DIMVA
2008
15 years 8 months ago
FluXOR: Detecting and Monitoring Fast-Flux Service Networks
Botnets are large groups of compromised machines (bots) used by miscreants for the most illegal activities (e.g., sending spam emails, denial-of-service attacks, phishing and other...
Emanuele Passerini, Roberto Paleari, Lorenzo Marti...
IFIP
2009
Springer
16 years 1 months ago
Detecting Spam at the Network Level
Spam is increasingly a core problem affecting network security and performance. Indeed, it has been estimated that 80% of all email messages are spam. Content-based filters are a ...
Anna Sperotto, Gert Vliek, Ramin Sadre, Aiko Pras
ICC
2007
IEEE
132views Communications» more  ICC 2007»
16 years 1 months ago
Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks
—Anomaly detection is an important challenge for tasks such as fault diagnosis and intrusion detection in energy constrained wireless sensor networks. A key problem is how to min...
Sutharshan Rajasegarar, Christopher Leckie, Marimu...
ICNS
2007
IEEE
16 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...
DSOM
2007
Springer
16 years 1 months ago
NADA - Network Anomaly Detection Algorithm
This paper deals with a new iterative Network Anomaly Detection Algorithm – NADA, which accomplishes the detection, classification and identification of traffic anomalies. NADA f...
Silvia Farraposo, Philippe Owezarski, Edmundo Mont...