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ICNC
2005
Springer
15 years 5 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...
SP
2008
IEEE
134views Security Privacy» more  SP 2008»
15 years 6 months ago
Lares: An Architecture for Secure Active Monitoring Using Virtualization
Host-based security tools such as anti-virus and intrusion detection systems are not adequately protected on today’s computers. Malware is often designed to immediately disable ...
Bryan D. Payne, Martim Carbone, Monirul I. Sharif,...
IJCNN
2006
IEEE
15 years 5 months ago
Small-catchment flood forecasting and drainage network extraction using computational intelligence
— Forecast, detection and warning of severe weather and related hydro-geological risks is becoming one of the major issues for civil protection. The use of computational intellig...
Erika Coppola, Barbara Tomassetti, Marco Verdecchi...
IMC
2009
ACM
15 years 6 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
CORR
2010
Springer
124views Education» more  CORR 2010»
14 years 12 months ago
Detecting Danger: The Dendritic Cell Algorithm
l invaders in the form of pathogens. In this research, and abstract model of DC behaviour is developed and subsequently used to form an algorithm, the DCA. The abstraction process ...
Julie Greensmith, Uwe Aickelin, Steve Cayzer