Security in Smart Cities: Models, Applications, and Challenges
| 企业作者: | |
|---|---|
| 其他作者: | , , , |
| 总结: | VIII, 364 p. 150 illus., 84 illus. in color. text |
| 语言: | 英语 |
| 出版: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| 版: | 1st ed. 2019. |
| 丛编: | Lecture Notes in Intelligent Transportation and Infrastructure,
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| 主题: | |
| 在线阅读: | https://doi.org/10.1007/978-3-030-01560-2 |
| 格式: | 电子 图书 |
书本目录:
- Part I: Challenges of Smart Healthcare Applications
- Big Data challenges and opportunities in IoT Applications: Health Informatics and Smart Hospitals
- Healthcare Analysis in Smart Big Data Analytics :Reviews, Challenges and Recommendations
- Realization of IoT adaptive Data hiding system for Electronic Patient Record, Embedding in Medical Images
- A Swarm Intelligence Model for Enhancing Health Care Services in Internet of Things based Applications
- A Machine Learning Model for Predicting of Chronic Kidney Disease for Internet of Things and cloud computing Applications
- Part II: Secure Models for Smart Cities Applications
- Data Security Challenges in Smart cities
- Engineering Large Complex Critical Infrastructures of Future Smart Cities for IoT applications as Self-Adaptive Systems- Security challenges in IoT Cyber world
- Blockchains for Smart Cities: A Survey
- A Review of Existing 4-bit Crypto S-box cryptanalysis Techniques and Two New Techniques with 4-bit Boolean Functions for Cryptanalysis of 4-bit Crypto S-boxes towards a Secure Internet of Things based Application
- Part III: Secure Network Communication in Smart Cities Applications
- A Robust Watermarking Scheme Using Machine Learning Transmitted Over High-Speed Net-work for Internet of Things Applications
- 4, 8, 32, 64 bit Substitution Box generation using Irreducible or Reducible Polynomials over Galois Field GF(pq)
- Local Binary Patterns for Facial Expression Recognition for Efficient Smart Applications
- Efficient Generation of Association Rules from Numeric Data using Genetic Algorithm for Smart Cities Applications
- Online User Authentication System based on Finger Knuckle Print using Smartphones.