Deep Learning Based Intrusion Detection Framework in Industrial IoT - Tapa blanda

K V, Raghavender; DURGA BHAVANI, B.

 
9786206739449: Deep Learning Based Intrusion Detection Framework in Industrial IoT
Tapa blanda
ISBN 10: 6206739449 ISBN 13: 9786206739449
Editorial: LAP LAMBERT Academic Publishing, 2023

Sinopsis

A Deep Learning Based Intrusion Detection Framework in Industrial IoT is a sophisticated system designed to safeguard critical infrastructure from unauthorized access and malicious activities. Leveraging the power of deep learning algorithms, this framework utilizes advanced neural networks to analyze vast amounts of data collected from Industrial Internet of Things (IoT) devices. By training the deep learning models on labeled datasets consisting of normal and anomalous behavior patterns, the framework can accurately identify and classify various types of intrusions in real-time. The framework's ability to adapt and learn from evolving threats makes it an effective defense mechanism, providing a robust security layer for industrial IoT environments, ensuring the integrity, availability, and confidentiality of critical assets and systems.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2023
Idioma
Inglés
ISBN 10 
6206739449
ISBN 13 
9786206739449
Encuadernación
Tapa blanda
Número de páginas
56
Contacto del fabricante
no disponible
Persona responsable
no disponible