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» An efficient data structure for network anomaly detection
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CCS
2009
ACM
15 years 11 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
118
Voted
SUTC
2006
IEEE
15 years 10 months ago
Native API Based Windows Anomaly Intrusion Detection Method Using SVM
While many researches of Host Anomaly Detection System using system calls under UNIX/UNIX-like systems have been done but little in Windows systems, we do the similar research und...
Miao Wang, Cheng Zhang, Jingjing Yu
145
Voted
PST
2004
15 years 5 months ago
A novel visualization technique for network anomaly detection
Visualized information is a technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human us...
Iosif-Viorel Onut, Bin Zhu, Ali A. Ghorbani
JSAC
2006
165views more  JSAC 2006»
15 years 4 months ago
Image-Based Anomaly Detection Technique: Algorithm, Implementation and Effectiveness
The frequent and large-scale network attacks have led to an increased need for developing techniques for analyzing network traffic. This paper presents NetViewer, a network measure...
Seong Soo Kim, A. L. Narasimha Reddy
MOBISYS
2006
ACM
16 years 3 months ago
MOJO: a distributed physical layer anomaly detection system for 802.11 WLANs
Deployments of wireless LANs consisting of hundreds of 802.11 access points with a large number of users have been reported in enterprises as well as college campuses. However, du...
Anmol Sheth, Christian Doerr, Dirk Grunwald, Richa...