This book offers an essential guide to Io T Security, Smart Cities, Io T Applications, etc. In addition, it presents a structured introduction to the subject of destination marketing and an exhaustive review on the challenges of information security in smart and intelligent applications, especially for Io T and big data contexts. Highlighting the latest research on security in smart cities, it addresses essential models, applications, and challenges.
Written in plain and straightforward language, the book offers a self-contained resource for readers with no prior background in the field. Primarily intended for students in Information Security and Io T applications (including smart cities systems and data heterogeneity), it will also greatly benefit academic researchers, IT professionals, policymakers and legislators. It is well suited as a reference book for both undergraduate and graduate courses on information security approaches, the Internet of Things, andreal-world intelligent applications.
Cuprins
Part I: Challenges of Smart Healthcare Applications.- Big Data challenges and opportunities in Io T Applications: Health Informatics and Smart Hospitals.- Healthcare Analysis in Smart Big Data Analytics :Reviews, Challenges and Recommendations.- Realization of Io T 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 Io T applications as Self-Adaptive Systems- Security challenges in Io T 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.
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