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» Intrusion Detection with Neural Networks
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AUSFORENSICS
2004
15 years 6 months ago
Wireless Snort - A WIDS in progress
The Snort intrusion detection system is a widely used and well-regarded open sourcesystem used for the detection of malicious activity in conventional wired networks. Recently, so...
Craig Valli
145
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ICNC
2005
Springer
15 years 10 months ago
An Unsupervised Cooperative Pattern Recognition Model to Identify Anomalous Massive SNMP Data Sending
In this paper, we review a visual approach and propose it for analysing computer-network activity, which is based on the use of unsupervised connectionist neural network models and...
Álvaro Herrero, Emilio Corchado, José...
ACSW
2006
15 years 6 months ago
Description of bad-signatures for network intrusion detection
Today, a computer network is under constant assault from attacks. In Computer Science, NIDS are used in order to protect a computer network against these intrusions. These systems...
Michael Hilker, Christoph Schommer
CNSR
2005
IEEE
112views Communications» more  CNSR 2005»
15 years 11 months ago
Generating Representative Traffic for Intrusion Detection System Benchmarking
In this paper, a modeling and simulation framework is proposed for generating data for training and testing intrusion detection systems. The framework can develop models of web us...
Hilmi Günes Kayacik, A. Nur Zincir-Heywood
JNCA
2007
179views more  JNCA 2007»
15 years 5 months ago
Modeling intrusion detection system using hybrid intelligent systems
The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known as intrusion detection system (IDS). This paper p...
Sandhya Peddabachigari, Ajith Abraham, Crina Grosa...