329 search results - page 19 / 66 » Utilizing Neural Networks For Effective Intrusion Detection |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
RAID
2004
Springer
14 years 26 days ago
2004
Springer
We present a payload-based anomaly detector, we call PAYL, for intrusion detection. PAYL models the normal application payload of network traffic in a fully automatic, unsupervised...
ICC
2007
IEEE
14 years 1 months ago
2007
IEEE
—Network Intrusion Detection Systems (NIDS) are more and more important in today’s network security for identifying and preventing malicious attacks over the network. This pape...
DCOSS
2007
Springer
13 years 11 months ago
2007
Springer
The problem we address in this paper is how to detect an intruder moving through a polygonal space that is equipped with a camera sensor network. We propose a probabilistic sensor ...
SKG
2006
IEEE
14 years 1 months ago
2006
IEEE
This article explores the utility of neural network ensembles in knowledge discovery and integration. A novel neural network ensemble model KBNNE (Knowledge-Based Neural Network E...