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» Intrusion Detection with Neural Networks
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AUSFORENSICS
2004
13 years 9 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
ICNC
2005
Springer
14 years 1 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
13 years 9 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»
14 years 1 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»
13 years 7 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...