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Privacy Preservation in IoT: Machine Learning Approaches: A Comprehensive Survey and Use Cases, Qu Youyang, Gao Longxiang, Yu Shui


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Автор: Qu Youyang, Gao Longxiang, Yu Shui
Название:  Privacy Preservation in IoT: Machine Learning Approaches: A Comprehensive Survey and Use Cases
ISBN: 9789811917967
Издательство: Springer
Классификация:



ISBN-10: 9811917965
Обложка/Формат: Paperback
Страницы: 132
Вес: 0.20 кг.
Дата издания: 29.05.2022
Серия: Springerbriefs in computer science
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 36 illustrations, color; 3 illustrations, black and white; xi, 119 p. 39 illus., 36 illus. in color.
Размер: 234 x 156 x 7
Читательская аудитория: Professional & vocational
Подзаголовок: A comprehensive survey and use cases
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner. The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potentially promising research directions. Readers may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates.
Дополнительное описание: Chapter 1 Introduction.- Chapter 2 Current Methods of Privacy Protection in IoTs.- Chapter 3 Decentralized Privacy Protection of IoTs using Blockchain-Enabled Federated Learning.- Chapter 4 Personalized Privacy Protection of IoTs using GAN-Enhanced Differ



Privacy-Preserving Deep Learning: A Comprehensive Survey

Автор: Kim Kwangjo, Tanuwidjaja Harry Chandra
Название: Privacy-Preserving Deep Learning: A Comprehensive Survey
ISBN: 9811637636 ISBN-13(EAN): 9789811637636
Издательство: Springer
Цена: 9781.00 р.
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Описание: This book discusses the state-of-the-art in privacy-preserving deep learning (PPDL), especially as a tool for machine learning as a service (MLaaS), which serves as an enabling technology by combining classical privacy-preserving and cryptographic protocols with deep learning.

Machine Learning Approaches for Convergence of Iot and Blockchain

Автор: Singh Krishna Kant, Singh Akansha, Sharma Sanjay K.
Название: Machine Learning Approaches for Convergence of Iot and Blockchain
ISBN: 1119761743 ISBN-13(EAN): 9781119761747
Издательство: Wiley
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Цена: 25811.00 р.
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Описание: MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN

The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication.

Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning.

Highlights of the book include:

  • Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT
  • Security of the Internet of Things using blockchain and AI
  • Developing smart cities and transportation systems using machine learning and IoT

Audience

The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.

Iot Platforms, Use Cases, Privacy, and Business Models: With Hands-On Examples Based on the Vicinity Platform

Автор: Zivkovic Carna, Guan Yajuan, Grimm Christoph
Название: Iot Platforms, Use Cases, Privacy, and Business Models: With Hands-On Examples Based on the Vicinity Platform
ISBN: 3030453189 ISBN-13(EAN): 9783030453183
Издательство: Springer
Цена: 11179.00 р.
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Описание:

This book provides a comprehensive and consistent introduction to the Internet of Things. Hot topics, including the European privacy legislation GDPR, and homomorphic encryption are explained. For each topic, the reader gets a theoretical introduction and an overview, backed by programming examples. For demonstration, the authors use the IoT platform VICINITY, which is open-source, free, and offers leading standards for privacy.

  • Presents readers with a coherent single-source introduction into the IoT;
  • Introduces selected, hot-topics of IoT, including GDPR (European legislation on data protection), and homomorphic encryption;
  • Provides coding examples for most topics that allow the reader to kick-start his own IoT applications, smart services, etc.

Iot Platforms, Use Cases, Privacy, and Business Models: With Hands-On Examples Based on the Vicinity Platform

Автор: Zivkovic Carna, Guan Yajuan, Grimm Christoph
Название: Iot Platforms, Use Cases, Privacy, and Business Models: With Hands-On Examples Based on the Vicinity Platform
ISBN: 3030453154 ISBN-13(EAN): 9783030453152
Издательство: Springer
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Цена: 11179.00 р.
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Описание:

Introduction.- IoT Platforms.- Business models and use-cases for the IoT.- Development methods and tools.- Ontologies for semantic interoperability.- Standards for the IoT.- Security and Trust.- Privacy, GDPR and homomorphic encryption.- Mastering the IoT with the VICINITY platform.

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 1

Автор: Macintyre John, Zhao Jinghua, Ma Xiaomeng
Название: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 1
ISBN: 3030895076 ISBN-13(EAN): 9783030895075
Издательство: Springer
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Цена: 30745.00 р.
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Описание: Application of Artificial Intelligence in Arrangement Creation.- Automatic Segmentation for Retinal Vessel Using Concatenate UNet++.- Experimental Analysis of Mandarin Tone Pronunciation of Tibetan College Students for Artificial Intelligence Speech Recognition.- Exploration of Paths for Artificial Intelligence Technology to Promote Economic Development.- Influence of RPA Financial Robot on Financial Accounting and its Countermeasures.- Application of Artificial Intelligence Technology in English Online Learning Platform.- Spectral Identification Model of NIR Origin Based on Deep Extreme Learning Machine.- Frontier Application and Development Trend of Artificial Intelligence in New Media in the AI Era.- Analysis on the Application of Machine Learning Stock Selection Algorithm in the Financial Field.- Default Risk Prediction Based on Machine Learning under Big Data Analysis Technology.- Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System.- Application of 3D Computer Aided System in Dance Creation and Learning.- Data Selection and Machine Learning Algorithm Application under the Background of Big Data.

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 2

Автор: Macintyre John, Zhao Jinghua, Ma Xiaomeng
Название: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 2
ISBN: 3030895106 ISBN-13(EAN): 9783030895105
Издательство: Springer
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Цена: 30745.00 р.
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Описание: Analysis of Sentiment Tendency of Tourists' Comments Based on Text Mining.- Analysis of Smart City Construction Based on 5G Data Technology.- Prediction of Stock Price Based on Artificial Intelligence Algorithm.- Variation Translation Strategy System of Intangible Cultural Heritage Based on Data Mining.- A Computer-aided Comparative Study on Grammatical Cohesion in Abstracts of Sci-tech Journal Papers by Chinese and American Scholars.- Computer Graphics and Image Software in Advertising Design.- Design and Research of Production Information Management System for Project Based Mechanical Manufacturing Enterprises.- Impact of Computer Network Technology on Regional Economic Development.- Chaos Algorithm of Electrical Control System Based on Neural Network Technology.- Pulse Signal Acquisition System Based on Match Pursuit Algorithm.- Data Analysis of Power System Engineering Construction Based on PPSO Algorithm.- Reactive Optimization of Power System Based on K-means Algorithm.- Design and Structure Analysis of Manipulator based on Acceleration Sensor.- Discussion on Decision Tree Algorithm in University Teaching Management System.

The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020, Volume 1

Автор: Macintyre John, Zhao Jinghua, Ma Xiaomeng
Название: The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020, Volume 1
ISBN: 303062742X ISBN-13(EAN): 9783030627423
Издательство: Springer
Цена: 27950.00 р.
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Описание:

Session 1: Novel machine learning methods for IoT security

The Innovation of UI Design Courses in Higher Vocational Colleges Based on the Internet Perspective

Predicting the Getting-on and Getting-off Points Based on the Trafic Big Data

The Prediction analysis of Passengers Boarding and Alighting Points Based on the Big Data of Urban Traffic

Verifiable Random Number Based on B-Spline Curve

An Improved Particle Swarm Optimization Algorithm Based on DFC&HRS

Application and Practice of ID3 Algorithms in College Students' Education

Construction of Human Knee Joint Mechanics Model and Study on Mechanical Characteristics of Flexion movement based on neural network algorithm

Application of Artificial Intelligence Technology in Physical Fitness Test of College Students

Theoretical Research on College Students' Professional Literacy Design Based on Deep Learning

Artificial Intelligence is the Technical Guarantee of Network Security

Intelligent Question Answering System of Medical Knowledge Map Based on Deep Learning

Construction and Practice of Red Teaching Resources Based on Machine Learning

Reasonable Approach and Development Trend of Artificial Intelligence Sports Development

Returnee Migrant Workers' Entrepreneurship Based on Artificial Intelligence

Improvement of College Teachers' Teaching Ability under the Background of the Development of Artificial Intelligence Platform

Influence Factors of Using Modern Teaching Technology in the Classroom of Junior Middle School Teachers under the Background of Artificial Intelligence--Analysis Based on HLM

Analysis and Design of Personalized Learning System Based on Decision Tree Technology

Deep Learning Classification and Recognition Model Construction of Face Living Image Based on Multi-Feature Fusion

A Prediction Method of Blood Glucose Concentration Based On Nonlinear Auto-Regressive Model

Signal Processing Based On Machine Learning Optical Communication

Refined Management of Installation Engineering Cost based on Artificial Intelligence Technology

Application of Artificial Intelligence Technology in International Trade Finance

An Improved Genetic Algorithm for Vehicle Routing Problem

A Machine-Learning Based Store Layout Strategy in Shopping Mall

Risk Analysis in Online Peer-to-Peer Loaning Based on Machine Learning: A Decision Tree Implementation on PPDai.com

The Application of BP Neural Network in the Opioid Crisis

Design of Personalized Intelligent Learning Assistant System under Artificial Intelligence Background

Application of Artificial Intelligence in Intelligent Decision-making of Human Resource Allocation

Research on Early Warning of Security Risk of Hazardous Chemicals Storage Based on BP-PSO

The Application of Artificial Intelligence and Machine Learning in Financial Stability

Application of alternative routing configuration mechanism based on Genetic Algorithm in power communication network

Safety Situation Assessment of Underwater Nodes based on BP Neural Network

Session 2: Big data analytics for IoT security

The Innovation of College Counsellor's Work Based On Big Data Analysis

Analysis of India's Big Data Industry

The Application of Computer Virtual Technology in Modern Sports Training

The Research on the Development and Utilization of Hospital Archive Information in the Big Data Era

Integration and Optimization of College English Teaching Information Resources in the Context of Big Data

Discussion on the Training of Cross-border E-commerce Application Talents Based on the Internet Era

Level of Technology Innovation Development and Promotion Strategies of High Technology Industry in Hubei Province Based on Smart City

Wisdom Medi

The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020, Volume 2

Автор: Macintyre John, Zhao Jinghua, Ma Xiaomeng
Название: The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020, Volume 2
ISBN: 3030627454 ISBN-13(EAN): 9783030627454
Издательство: Springer
Цена: 27950.00 р.
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Описание:

Session 5: Data-driven co-design of communication, computing and control for IoT security

Design of a Force Balance Geophone Utilizing Bandwidth Extension and Data Acquisition Interface

Application of 3ds Max Technology in Archaeology

The Application of Virtual Reality Technology in ESP Teaching

Application of Simulation Method Based on Computer Bionic Design

The Implementation and Application of Computer Simulation Technology in PE Teaching

Construction of College Communities in the New Media Based on Network Environment

Political and Ideological Personnel Management Mode Based on Computer Network

Analysis of Mapping Knowledge Domain on Health and Wellness Tourism in the Perspective of Cite Space

Application of Smart Retail Mode in Suning.Com

Construction and Development of High-tech Smart City

Design and Implementation of Self-Service Tourism Management Information System Based on B/S Architecture

Chinese Culture Penetration in Teaching Chinese as a Foreign Language in the Era of Mobile Internet

Application and Outlook of Digital Media Technology in Smart Tourism

Accounting Informationization in Computer Network Environment

Mobile Phone GPS and Sensor Technology in College Students' Extracurricular Exercises

Design of Networking Network Model Based on Network Function Virtualization Technology

Intelligent Media Technology Empowered Brand Communication of Chinese Intangible Cultural Heritage

Construction Strategy of Smart English Teaching Platform from the Perspective of "Internet + Education"

Online Writing Effectiveness under the Blended Teaching Mode of Moscotech APP

A Narrative Environment Model for the Sustainability of Intangible Cultural Heritage under the 5G Era

Application Study of VPN on the Network of Hydropower Plant

Prediction of Technology Trend of Educational Robot Industry Based On Patent Map Analysis

Coal Handling System of Power Plant Based On PLC

Discussion on the Construction of Wireless Campus Network Based On SDN Architecture

Applicational Status Analysis of Artificial Intelligence Technology in Middle School Education and Teaching

Virtual Enterprise Partner Selection by Improved Analytic Hierarchy Process with Entropy Weight and Range Method

Research and implementation of Intelligent Tourism Guide System Based on cloud computing platform

Analysis of financial needs of new agricultural operators based on K-means clustering algorithm

Research on the application of virtual network technology in computer network security

Application of Bionics in Underwater Acoustic Covert Communication

Energy-saving and efficient underwater wireless sensor network security data aggregation model

False Data Filtering in Underwater Wireless Sensor Networks

Research on Underwater Bionic Covert Communication

Session 6: Authentication and access control for data usage in IoT

The Application of Virtual Reality Technology in Architectural Design

Computer-assisted Teaching and Cultivate Students' Innovative Thinking Ability

The Reform Progress and Practical Difficulties of State-owned Hospitals under Information Age―Case Analysis Based on the Reform in a Medical Institution of A Group in China

Financing Efficiency of SMEs in New Third Board Market in the Information Times

Application of Virtual Instrument Technology in Electronic Course Teaching

A Solution for Internet of Things based on Blockchain and Edge Computer

Discovery and Advice of Free Charging of Electronic Devices

Design and Implementation of Tourism Information Management System Based on .NET

A Computer Model for Decision of Equipment Maintenance Spare Parts Reserve

Risk Level Determination of Science a

Machine Learning for Critical Internet of Medical Things: Applications and Use Cases

Автор: Al-Turjman Fadi, Nayyar Anand
Название: Machine Learning for Critical Internet of Medical Things: Applications and Use Cases
ISBN: 3030809277 ISBN-13(EAN): 9783030809270
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician’s and doctor’s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. * Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; * Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; * Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.

Hardware-Aware Probabilistic Machine Learning Models: Learning, Inference and Use Cases

Автор: Galindez Olascoaga Laura Isabel, Meert Wannes, Verhelst Marian
Название: Hardware-Aware Probabilistic Machine Learning Models: Learning, Inference and Use Cases
ISBN: 3030740412 ISBN-13(EAN): 9783030740412
Издательство: Springer
Цена: 8384.00 р.
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Описание: This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them.

Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

Автор: Ramasubramanian Karthik, Singh Abhishek
Название: Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
ISBN: 1484242149 ISBN-13(EAN): 9781484242148
Издательство: Springer
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Цена: 9083.00 р.
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Описание: Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R.As in the first edition, the authors have kept the fine balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning.What You'll Learn Understand machine learning algorithms using RMaster the process of building machine-learning models Cover the theoretical foundations of machine-learning algorithmsSee industry focused real-world use casesTackle time series modeling in RApply deep learning using Keras and TensorFlow in RWho This Book is ForData scientists, data science professionals, and researchers in academia who want to understand the nuances of machine-learning approaches/algorithms in practice using R.


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