Deep Learning Based Intrusion Detection Framework in Industrial IoT

Language: English

Published by LAP LAMBERT Academic Publishing Jul 2023, 2023

6206739449 / 9786206739449

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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Softcover

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 56 pp. Englisch.

Seller Inventory # 9786206739449

Title
Deep Learning Based Intrusion Detection Framework in Industrial IoT
Author
Raghavender K V
Publisher
LAP LAMBERT Academic Publishing Jul 2023
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6206739449
ISBN 13
9786206739449
Item weight
102 grams
Dimensions
220x150x4 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

Germany