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» Active learning for network intrusion detection
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EC
2000
136views ECommerce» more  EC 2000»
13 years 10 months ago
Architecture for an Artificial Immune System
An artificial immune system (ARTIS) is described which incorporates many properties of natural immune systems, including diversity, distributed computation, error tolerance, dynam...
Steven A. Hofmeyr, Stephanie Forrest
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 11 months ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan
WORM
2004
14 years 4 hour ago
WORM vs. WORM: preliminary study of an active counter-attack mechanism
Self-propagating computer worms have been terrorizing the Internet for the last several years. With the increasing density, inter-connectivity and bandwidth of the Internet combin...
Frank Castaneda, Emre Can Sezer, Jun Xu
CCS
2009
ACM
14 years 5 months ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft
ICNC
2005
Springer
14 years 4 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...