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An improved long short term memory network for intrusion detection

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By Asmaa Ahmed Awad, Ahmed Ali Verified, Tarek Gaber
| paperity.org
PLOS ONE, Aug 2023 Over the years, intrusion detection system has played a crucial role in network security by discovering attacks from network traffics and generating an alarm signal to be sent to the security team. Machine learning methods, e.g., Support Vector Machine, K Nearest Neighbour, have been used in building intrusion detection systems but such systems still suffer from low accuracy and high false alarm rate.
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