An optimized LSTM-based deep learning model for anomaly network intrusion detection

An optimized LSTM-based deep learning model for anomaly network intrusion detection

Abstract The increasing prevalence of network connections is driving a continuous surge in the requirement for network security and safeguarding against cyberattacks. This has triggered the need to develop and implement intrusion detection systems (IDS), one of the key components of network perimete...

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Bibliographic Details
Main Authors: Nitu Dash, Sujata Chakravarty, Amiya Kumar Rath, Nimay Chandra Giri, Kareem M. AboRas, N. Gowtham
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Intrusion detection system (IDS)
JAYA optimization
Long short-term memory (LSTM)
Particle swarm optimization (PSO)
Salp swarm algorithm (SSA)
Online Access:https://doi.org/10.1038/s41598-025-85248-z
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