Anomaly based Intrusion Detection to Enhance IoT Devices Security using LSTM and Radial Basis Function Approach

The growing prevalence of IoT devices has rendered their security a paramount issue. Intrusion detection is essential for protecting IoT systems from potential attackers. Anomaly-based intrusion detection systems, despite their capacity to identify previously undiscovered threats, are frequently dis...

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Bibliographic Details

Published in:	2025 3rd International Conference on Data Science and Information System (ICDSIS) pp. 1 - 6
Main Authors:	Narayana, G. V. L, G, Sharmila, A, Mohaideen, Sathya, S., Vennila, C., Nishant, Neerav
Format:	Conference Proceeding
Language:	English
Published:	IEEE 16.05.2025
Subjects:	Anomaly detection distributed convolutional neural network (DCNN) Faces Feature extraction improved conditional variational autoencoder (ICVAE) Information systems Internet of Things Long short term memory long short-term memory (LSTM) Network intrusion detection network intrusion detection systems (nids) Principal component analysis principal component analysis (PCA) Security Training
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