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» Intrusion Detection with Neural Networks
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ICIC
2007
Springer
14 years 2 months ago
Edge Detection Based on Spiking Neural Network Model
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...
WETICE
2007
IEEE
14 years 2 months ago
Collaborative Intrusion Prevention
Intrusion Prevention Systems (IPSs) have long been proposed as a defense against attacks that propagate too fast for any manual response to be useful. In an important class of IPS...
Simon P. Chung, Aloysius K. Mok
ISI
2008
Springer
13 years 8 months ago
Intrusion activity projection for cyber situational awareness
Previous works in the area of network security have emphasized the creation of Intrusion Detection Systems (IDSs) to flag malicious network traffic and computer usage. Raw IDS data...
S. J. Yang, S. Byers, J. Holsopple, B. Argauer, D....
ACSAC
2004
IEEE
13 years 12 months ago
Correlating Intrusion Events and Building Attack Scenarios Through Attack Graph Distances
We map intrusion events to known exploits in the network attack graph, and correlate the events through the corresponding attack graph distances. From this, we construct attack sc...
Steven Noel, Eric Robertson, Sushil Jajodia
ICT
2004
Springer
194views Communications» more  ICT 2004»
14 years 1 months ago
Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems
We propose a new approach to fault detection and diagnosis in third-generation (3G) cellular networks using competitive neural algorithms. For density estimation purposes, a given ...
Guilherme De A. Barreto, João Cesar M. Mota...