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Security and Risk Analysis for Intelligent Edge Computing

Overview of attention for book
Cover of 'Security and Risk Analysis for Intelligent Edge Computing'

Table of Contents

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    Book Overview
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    Chapter 1 A Comprehensive Review on Edge Computing, Applications & Challenges
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    Chapter 2 Big Data Analytics and Security Over the Cloud: Characteristics, Analytics, Integration and Security
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    Chapter 3 Federated Learning Enabled Edge Computing Security for Internet of Medical Things: Concepts, Challenges and Open Issues
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    Chapter 4 Embedded Edge and Cloud Intelligence
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    Chapter 5 The Analysis on Impact of Cyber Security Threats on Smart Grids
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    Chapter 6 Intelligent Intrusion Detection Algorithm Based on Multi-Attack for Edge-Assisted Internet of Things
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    Chapter 7 Secure Data Analysis and Data Privacy
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    Chapter 8 A Novel Trust Evaluation and Reputation Data Management Based Security System Model for Mobile Edge Computing Network
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    Chapter 9 Network Security System in Mobile Edge Computing-to-IoMT Networks Using Distributed Approach
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    Chapter 10 Wireless and Mobile Security in Edge Computing
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    Chapter 11 An Intelligent Facial Expression Recognizer Using Modified ResNet-110 Using Edge Computing
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    Chapter 12 Blockchain Based Simulated Virtual Machine Placement Hybrid Approach for Decentralized Cloud and Edge Computing Environments
Attention for Chapter 7: Secure Data Analysis and Data Privacy
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Citations

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Chapter title
Secure Data Analysis and Data Privacy
Chapter number 7
Book title
Security and Risk Analysis for Intelligent Edge Computing
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-28150-1_7
Book ISBNs
978-3-03-128149-5, 978-3-03-128150-1
Authors

Abdi, Okash, Srivastava, Gautam, Lin, Jerry Chun-Wei

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Unknown 4 80%
Readers by discipline Count As %
Unspecified 1 20%
Unknown 4 80%

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