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» A nonself space approach to network anomaly detection
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FI
2010
130views more  FI 2010»
14 years 7 months ago
Improving Anomaly Detection for Text-Based Protocols by Exploiting Message Structures
: Service platforms using text-based protocols need to be protected against attacks. Machine-learning algorithms with pattern matching can be used to detect even previously unknown...
Martin Güthle, Jochen Kögel, Stefan Wahl...
TJS
2010
182views more  TJS 2010»
14 years 8 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
89
Voted
CANS
2005
Springer
134views Cryptology» more  CANS 2005»
15 years 3 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
ACSAC
1998
IEEE
15 years 1 months ago
How to Increase Security in Mobile Networks by Anomaly Detection
The increasing complexity of cellular radio networks yields new demands concerning network security. Especially the task of detecting, repulsing and preventing abuse both by in- a...
Roland Büschkes, Dogan Kesdogan, Peter Reichl
KDD
1998
ACM
181views Data Mining» more  KDD 1998»
15 years 1 months ago
Approaches to Online Learning and Concept Drift for User Identification in Computer Security
The task in the computer security domain of anomaly detection is to characterize the behaviors of a computer user (the `valid', or `normal' user) so that unusual occurre...
Terran Lane, Carla E. Brodley