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» Network anomaly detection based on TCM-KNN algorithm
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ICNS
2007
IEEE
13 years 11 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...
CIA
2008
Springer
13 years 7 months ago
Trust-Based Classifier Combination for Network Anomaly Detection
Abstract. We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. O...
Martin Rehák, Michal Pechoucek, Martin Gril...
ICANNGA
2009
Springer
201views Algorithms» more  ICANNGA 2009»
13 years 12 months ago
A Novel Signal-Based Approach to Anomaly Detection in IDS Systems
In this paper we present our original methodology, in which Matching Pursuit is used for networks anomaly and intrusion detection. The architecture of anomaly-based IDS based on si...
Lukasz Saganowski, Michal Choras, Rafal Renk, Wito...
HICSS
2007
IEEE
141views Biometrics» more  HICSS 2007»
13 years 11 months ago
Analysis of Payload Based Application level Network Anomaly Detection
Most network anomaly detection research is based on packet header fields, while the payload is usually discarded. Preventing unknown attacks and Internet worms has led to a need f...
Like Zhang, Gregory B. White
INFOCOM
2009
IEEE
13 years 12 months ago
Network Performance Anomaly Detection and Localization
Abstract—Detecting the occurrence and location of performance anomalies (e.g., high jitter or loss events) is critical to ensuring the effective operation of network infrastructu...
Paul Barford, Nick G. Duffield, Amos Ron, Joel Som...