Big Data Analytics in Fog-Enabled IoT Networks (eBook, ePUB)

Towards a Privacy and Security Perspective
Redaktion: Gupta, Govind P.; Chui, Kwok Tai; Gupta, Brij B.; Tripathi, Rakesh

• Format: ePub

Produktbeschreibung

This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the advance AI and Big data technologies like machine/deep learning, federated learning, blockchain, edge computing and the countermeasures to overcome the vulnerabilities of the Fog-enabled IoT system.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 232
• Erscheinungstermin: 19. April 2023
• Englisch
• ISBN-13: 9781000861860
• Artikelnr.: 67497852

Autorenporträt

Govind P. Gupta, Kwok Tai Chui

Inhaltsangabe

1. Deep Learning Techniques in Big Data-Enabled Internet-of-Things Devices.
2. IoMT based Smart Health Monitoring: The Future of HealthCare. 3. A
Review on Intrusion Detection Systems and Cyber Threat Intelligence for
Secure IoT-Enabled Network: Challenges and Directions. 4. Self-Adaptive
Application Monitoring for Decentralized Edge Frameworks. 5. Federated
Learning and Its Application in Malware Detection. 6. An Ensemble XGBoost
Approach for the Detection of Cyber-Attacks in the Industrial IOT Domain.
7. A Review on IoT for the Application of Energy, Environment, and Waste
Management: System Architecture and Future Directions. 8. Analysis of
Feature Selection Methods for Android Malware Detection Using Machine
Learning Techniques. 9. An Efficient Optimizing Energy Consumption Using
Modified Bee Colony Optimization in Fog and IoT Networks.