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» Intrusion Detection with Neural Networks
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150
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IAT
2007
IEEE
15 years 10 months ago
Agent-Based Network Intrusion Detection System
The paper presents security platform based on agents as an efficient and robust solution for high-performance intrusion detection system designed for deployment on highspeed netw...
Vojtech Krmicek, Pavel Celeda, Martin Rehák...
111
Voted
IPPS
2007
IEEE
15 years 10 months ago
A Global Security Architecture for Intrusion Detection on Computer Networks
— Detecting all kinds of intrusions efficiently requires a global view of the monitored network. Built to increase the security of computer networks, traditional IDS are unfortu...
Abdoul Karim Ganame, Julien Bourgeois, Renaud Bido...
130
Voted
ACSAC
1999
IEEE
15 years 8 months ago
An Application of Machine Learning to Network Intrusion Detection
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
Chris Sinclair, Lyn Pierce, Sara Matzner
135
Voted
RAID
2000
Springer
15 years 7 months ago
A Real-Time Intrusion Detection System Based on Learning Program Behavior
Abstract. In practice, most computer intrusions begin by misusing programs in clever ways to obtain unauthorized higher levels of privilege. One e ective way to detect intrusive ac...
Anup K. Ghosh, Christoph C. Michael, Michael Schat...
109
Voted
IJNSEC
2007
119views more  IJNSEC 2007»
15 years 3 months ago
Evolutionary Design of Intrusion Detection Programs
Intrusion detection is the process of monitoring the events occurring in a computer system or network and analyzing them for signs of intrusions, defined as attempts to compromis...
Ajith Abraham, Crina Grosan, Carlos Martín-...