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» Network anomaly detection based on TCM-KNN algorithm
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CANS
2005
Springer
134views Cryptology» more  CANS 2005»
14 years 1 months ago
A New Unsupervised Anomaly Detection Framework for Detecting Network Attacks in Real-Time
Abstract. In this paper, we propose a new unsupervised anomaly detection framework for detecting network intrusions online. The framework consists of new anomalousness metrics name...
Wei Lu, Issa Traoré
DSN
2005
IEEE
14 years 1 months ago
The Effects of Algorithmic Diversity on Anomaly Detector Performance
Common practice in anomaly-based intrusion detection assumes that one size fits all: a single anomaly detector should detect all anomalies. Compensation for any performance short...
Kymie M. C. Tan, Roy A. Maxion
AIMS
2007
Springer
14 years 1 months ago
Improving Anomaly Detection Event Analysis Using the EventRank Algorithm
Abstract. We discuss an approach to reducing the number of events accepted by anomaly detection systems, based on alternative schemes for interest-ranking. The basic assumption is ...
Kyrre M. Begnum, Mark Burgess
IPPS
2006
IEEE
14 years 1 months ago
A nonself space approach to network anomaly detection
The paper presents an approach for the anomaly detection problem based on principles of immune systems. Flexibility and efficiency of the anomaly detection system are achieved by ...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...
ICIAP
2005
ACM
14 years 7 months ago
Analyzing TCP Traffic Patterns Using Self Organizing Maps
The continuous evolution of the attacks against computer networks has given renewed strength to research on anomaly based Intrusion Detection Systems, capable of automatically dete...
Stefano Zanero