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» Unsupervised Anomaly Detection in Network Intrusion Detectio...
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IMC
2009
ACM
15 years 4 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
IMC
2006
ACM
15 years 3 months ago
Approximate fingerprinting to accelerate pattern matching
Pattern matching and analysis over network data streams is increasingly becoming an essential primitive of network monitoring systems. It is a fundamental part of most intrusion d...
Ramaswamy Ramaswamy, Lukas Kencl, Gianluca Iannacc...
IWIA
2005
IEEE
15 years 3 months ago
A General Cooperative Intrusion Detection Architecture for MANETs
1 Intrusion detection in MANETs is challenging because these networks change their topologies dynamically; lack concentration points where aggregated traffic can be analyzed; utili...
Daniel F. Sterne, Poornima Balasubramanyam, David ...
ICMLA
2004
14 years 11 months ago
Outlier detection and evaluation by network flow
Detecting outliers is an important topic in data mining. Sometimes the outliers are more interesting than the rest of the data. Outlier identification has lots of applications, su...
Ying Liu, Alan P. Sprague
CCS
2009
ACM
15 years 4 months ago
Keep your friends close: the necessity for updating an anomaly sensor with legitimate environment changes
Large-scale distributed systems have dense, complex code-bases that are assumed to perform multiple and inter-dependent tasks while user interaction is present. The way users inte...
Angelos Stavrou, Gabriela F. Cretu-Ciocarlie, Mich...