Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers

The ever-expanding Internet of Things (IoT) landscape presents a double-edged sword. While it fosters interconnectedness, the vast amount of data generated by IoT devices creates a larger attack surface for cybercriminals. Intrusions in these environments can have severe consequences. To combat this...

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Bibliografiske detaljer

Principais autores:	Laraib Sana, Muhammad Mohsin Nazir, Jing Yang, Lal Hussain, Yen-Lin Chen, Chin Soon Ku, Mohammed Alatiyyah, Sulaiman Abdullah Alateyah, Lip Yee Por
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Vision transformers anomaly detection intrusion detection IoT deep learning
Online adgang:	https://ieeexplore.ieee.org/document/10538333/
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