Security in Smart Cities: Models, Applications, and Challenges

Häftad, Engelska, 2019

Del i serien Lecture Notes in Intelligent Transportation and Infrastructure

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Beskrivning

This book offers an essential guide to IoT Security, Smart Cities, IoT Applications, etc. Primarily intended for students in Information Security and IoT applications (including smart cities systems and data heterogeneity), it will also greatly benefit academic researchers, IT professionals, policymakers and legislators.

Produktinformation

Utgivningsdatum:2019-12-10
Mått:155 x 235 x 21 mm
Vikt:563 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Intelligent Transportation and Infrastructure
Antal sidor:364
Förlag:Springer Nature Switzerland AG
ISBN:9783030131852

Utforska kategorier

Artificiell intelligens inom Data och IT
Regional planering inom Naturvetenskap och teknik
IT-säkerhet inom Data och IT

Innehållsförteckning

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.