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» Scalable Intrusion Detection with Recurrent Neural Networks
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IEAAIE
2004
Springer
14 years 1 months ago
Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach
This paper investigates the suitability of linear genetic programming (LGP) technique to model efficient intrusion detection systems, while comparing its performance with artificia...
Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham
JAIHC
2010
205views more  JAIHC 2010»
13 years 6 months ago
Soft computing in intrusion detection: the state of the art
The state of the art is explored in using soft computing (SC) methods for network intrusion detection, including the examination of efforts in ten specific areas of SC as well as ...
Chet Langin, Shahram Rahimi
IJCNN
2007
IEEE
14 years 2 months ago
Compact hardware for real-time speech recognition using a Liquid State Machine
Abstract— Hardware implementations of Spiking Neural Networks are numerous because they are well suited for implementation in digital and analog hardware, and outperform classic ...
Benjamin Schrauwen, Michiel D'Haene, David Verstra...
DSOM
2007
Springer
14 years 2 months ago
Botnets for Scalable Management
With an increasing number of devices that must be managed, the scalability of network and service management is a real challenge. A similar challenge seems to be solved by botnets ...
Jérôme François, Radu State, O...
ISI
2008
Springer
13 years 7 months ago
Real time intrusion prediction, detection and prevention programs
An Intrusion Detection Program (IDP) analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. In this talk, we p...
A. Abraham