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"item_title" : "Deep Learning for Security and Privacy Preservation in Iot",
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"item_description" : "Metamorphosis of Industrial IoT using Deep Leaning.- Deep Learning Models and their Architectures for Computer Vision Applications: A Review.- IoT Data Security with Machine Learning Blockchain: Risks and Countermeasures.- A Review on Cyber Crimes on the Internet of Things.- Deep learning framework for anomaly detection in IoT enabled systems.- Anomaly Detection using Unsupervised Machine Learning Algorithms.- Game Theory Based Privacy Preserving Approach for Collaborative Deep Learning in IoT.- Deep Learning based security preservation of IoT: An industrial machine health monitoring scenario.- Deep learning Models: An Understandable Interpretable Approaches.",
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Deep Learning for Security and Privacy Preservation in Iot
by Aaisha Makkar and Neeraj Kumar
Other Available Formats
Overview
Metamorphosis of Industrial IoT using Deep Leaning.- Deep Learning Models and their Architectures for Computer Vision Applications: A Review.- IoT Data Security with Machine Learning Blockchain: Risks and Countermeasures.- A Review on Cyber Crimes on the Internet of Things.- Deep learning framework for anomaly detection in IoT enabled systems.- Anomaly Detection using Unsupervised Machine Learning Algorithms.- Game Theory Based Privacy Preserving Approach for Collaborative Deep Learning in IoT.- Deep Learning based security preservation of IoT: An industrial machine health monitoring scenario.- Deep learning Models: An Understandable Interpretable Approaches.
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Details
- ISBN-13: 9789811661853
- ISBN-10: 9811661855
- Publisher: Springer
- Publish Date: April 2022
- Dimensions: 9.21 x 6.14 x 0.5 inches
- Shipping Weight: 0.99 pounds
- Page Count: 179
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