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ISNN
2005
Springer
15 years 12 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
IWIA
2003
IEEE
15 years 11 months ago
Intrusion Detection Testing and Benchmarking Methodologies
— The ad-hoc methodology that is prevalent in today’s testing and evaluation of network intrusion detection algorithms and systems makes it difficult to compare different algor...
Nicholas Athanasiades, Randal Abler, John G. Levin...
FCCM
2004
IEEE
269views VLSI» more  FCCM 2004»
15 years 10 months ago
FPGA Based Network Intrusion Detection using Content Addressable Memories
In this paper, we introduce a novel architecture for a hardware based network intrusion detection system (NIDS). Current software-based NIDS are too compute intensive and can not ...
Long Bu, John A. Chandy
TEC
2002
89views more  TEC 2002»
15 years 6 months ago
An immunity-based technique to characterize intrusions in computer networks
Abstract--This paper presents a technique inspired by the negative selection mechanism of the immune system that can detect foreign patterns in the complement (nonself) space. In p...
Fabio A. González, Dipankar Dasgupta
CORR
2008
Springer
146views Education» more  CORR 2008»
15 years 6 months ago
Intrusion Detection Using Cost-Sensitive Classification
Intrusion Detection is an invaluable part of computer networks defense. An important consideration is the fact that raising false alarms carries a significantly lower cost than not...
Aikaterini Mitrokotsa, Christos Dimitrakakis, Chri...