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...

Celý popis

Podrobná bibliografia

Vydané v:	2025 3rd International Conference on Data Science and Information System (ICDSIS) s. 1 - 6
Hlavní autori:	Narayana, G. V. L, G, Sharmila, A, Mohaideen, Sathya, S., Vennila, C., Nishant, Neerav
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 16.05.2025
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!