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- W1797669587 abstract "Intrusion detection is an important defence to protect the security of computer network systems. With an integrated technique of genetic algorithm and neural network, a method of evolutionary neural networks is proposed to perform intrusion detection in this paper. It is a robust enough, parallel and nonlinear dynamic processing system to satisfy requirements of real-time processing and prediction with high accuracy. With the new method, the structure of the neural network is optimized using a genetic algorithm. The obtained neural network model is thus used for intrusion detection and prealarm with high accuracy." @default.
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- W1797669587 date "2002-11-13" @default.
- W1797669587 modified "2023-09-23" @default.
- W1797669587 title "Method of evolutionary neural network-based intrusion detection" @default.
- W1797669587 cites W1521160590 @default.
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- W1797669587 doi "https://doi.org/10.1109/icii.2001.983487" @default.
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