Security in Smart Cities: Models, Applications, and Challenges (eBook)

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.