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LSTM-Based IDS for Internet of Vehicles by Thùy Minh is a document available to read on EtoBox.

The document presents a novel LSTM-based Intrusion Detection System (IDS) for the Internet of Vehicles (IoV) that combines Long Short-Term Memory Variational AutoEncoder (LSTMVAE) and Bidirectional Gated Recurrent Units (BiGRU) to effectively identify and classify cyber-attacks. The proposed system demonstrates superior performance in terms of accuracy and detection rates compared to existing methods, utilizing the ToN-IoT dataset for evaluation. The architecture includes Traffic Command Centers, Road Side

Author
Thùy Minh
Language
EN