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» Using Active Learning in Intrusion Detection
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IEEEIAS
2008
IEEE
15 years 5 months ago
Ensemble of One-Class Classifiers for Network Intrusion Detection System
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
RV
2007
Springer
151views Hardware» more  RV 2007»
15 years 4 months ago
Instrumentation of Open-Source Software for Intrusion Detection
A significant number of cyber assaults are attempted against open source internet support software written in C, C++, or Java. Examples of these software packages include the Apac...
William R. Mahoney, William L. Sousan
TIFS
2008
142views more  TIFS 2008»
14 years 10 months ago
An FPGA-Based Network Intrusion Detection Architecture
Abstract--Network intrusion detection systems (NIDSs) monitor network traffic for suspicious activity and alert the system or network administrator. With the onset of gigabit netwo...
Abhishek Das, David Nguyen, Joseph Zambreno, Gokha...
IWAN
2004
Springer
15 years 4 months ago
Distributed Instrusion Prevention in Active and Extensible Networks
The proliferation of computer viruses and Internet worms has had a major impact on the Internet Community. Cleanup and control of malicious software (malware) has become a key prob...
Todd S. Sproull, John W. Lockwood
IJSN
2008
80views more  IJSN 2008»
14 years 10 months ago
Syntax vs. semantics: competing approaches to dynamic network intrusion detection
: Malicious network traffic, including widespread worm activity, is a growing threat to Internet-connected networks and hosts. In this paper, we consider two competing approaches t...
Walter J. Scheirer, Mooi Choo Chuah