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» Intrusion Detection with Neural Networks
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206
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VLDB
2005
ACM
153views Database» more  VLDB 2005»
16 years 4 months ago
An effective and efficient algorithm for high-dimensional outlier detection
Abstract. The outlier detection problem has important applications in the field of fraud detection, network robustness analysis, and intrusion detection. Most such applications are...
Charu C. Aggarwal, Philip S. Yu
107
Voted
NDSS
2006
IEEE
15 years 10 months ago
Isolating Intrusions by Automatic Experiments
When dealing with malware infections, one of the first tasks is to find the processes that were involved in the attack. We introduce Malfor, a system that isolates those process...
Stephan Neuhaus, Andreas Zeller
ICDAR
1999
IEEE
15 years 8 months ago
Cursive Character Detection using Incremental Learning
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
Jean-François Hébert, Marc Parizeau,...
137
Voted
JSAC
2006
128views more  JSAC 2006»
15 years 3 months ago
A framework for misuse detection in ad hoc networks- part II
We focus on detecting intrusions in ad hoc networks using the misuse detection technique. We allow for detection modules that periodically stop functioning due to operational failu...
D. Subhadrabandhu, S. Sarkar, F. Anjum
ACMSE
2006
ACM
15 years 5 months ago
Hybrid intelligent systems for network security
Society has grown to rely on Internet services, and the number of Internet users increases every day. As more and more users become connected to the network, the window of opportu...
J. Lane Thames, Randal Abler, Ashraf Saad