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» Scalable Intrusion Detection with Recurrent Neural Networks
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ICDCSW
2005
IEEE
15 years 9 months ago
Policy-Controlled Event Management for Distributed Intrusion Detection
A powerful strategy in intrusion detection is the separation of surveillance mechanisms from a site’s policy for processing observed events. The Bro intrusion detection system h...
Christian Kreibich, Robin Sommer
205
Voted
HOLOMAS
2007
Springer
15 years 9 months ago
Agent Methods for Network Intrusion Detection and Response
While the need to build the Intrusion Detection Systems (IDS) based on on a distributed and cooperative (P2P) paradigm is being generally acknowledged, the field has been disconne...
Martin Rehák, Michal Pechoucek, David Medvi...
130
Voted
FPL
2003
Springer
164views Hardware» more  FPL 2003»
15 years 9 months ago
Fast, Large-Scale String Match for a 10Gbps FPGA-Based Network Intrusion Detection System
Intrusion Detection Systems such as Snort scan incoming packets for evidence of security threats. The most computation-intensive part of these systems is a text search against hund...
Ioannis Sourdis, Dionisios N. Pnevmatikatos
134
Voted
CEC
2009
IEEE
15 years 10 months ago
HyperNEAT controlled robots learn how to drive on roads in simulated environment
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
Jan Drchal, Jan Koutník, Miroslav Snorek
131
Voted
IMC
2004
ACM
15 years 9 months ago
On scalable attack detection in the network
Current intrusion detection and prevention systems seek to detect a wide class of network intrusions (e.g., DoS attacks, worms, port scans) at network vantage points. Unfortunatel...
Ramana Rao Kompella, Sumeet Singh, George Varghese