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Deep Learning Based Intrusion Detection Framework in Industrial IoT

Language EnglishEnglish
Book Paperback
Book Deep Learning Based Intrusion Detection Framework in Industrial IoT B. Durga Bhavani
Libristo code: 43849767
Publishers LAP LAMBERT Academic Publishing, July 2023
A Deep Learning Based Intrusion Detection Framework in Industrial IoT is a sophisticated system desi... Full description
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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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About the book

Full name Deep Learning Based Intrusion Detection Framework in Industrial IoT
Language English
Binding Book - Paperback
Date of issue 2023
Number of pages 56
EAN 9786206739449
ISBN 6206739449
Libristo code 43849767
Weight 102
Dimensions 150 x 220 x 4
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