Intrusion Detection Method Using Bi-Directional GPT for in-Vehicle Controller Area Networks

Article Computer Science, Artificial Intelligence

A Survey of the Usages of Deep Learning for Natural Language Processing

Daniel W. Otter et al.

Summary: This article provides a brief introduction to the recent developments in natural language processing driven by deep learning models, discusses their applications and research findings, and offers recommendations for future research directions.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)

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Article Computer Science, Information Systems

CANnolo: An Anomaly Detection System Based on LSTM Autoencoders for Controller Area Network

Stefano Longari et al.

Summary: Automotive security has improved significantly due to new connectivity features, with researchers showing vulnerabilities in modern vehicles to various attacks. The proposed IDS CANnolo, based on LSTM-autoencoders, outperforms existing models in detecting anomalies in CAN networks, as demonstrated in experiments.

IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT (2021)

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Article Telecommunications