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Deep Learning for Security and Privacy Preservation in IoT, Makkar Aaisha, Kumar Neeraj


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Автор: Makkar Aaisha, Kumar Neeraj
Название:  Deep Learning for Security and Privacy Preservation in IoT
ISBN: 9789811661853
Издательство: Springer
Классификация:



ISBN-10: 9811661855
Обложка/Формат: Hardcover
Страницы: 192
Вес: 0.45 кг.
Дата издания: 04.04.2022
Серия: Signals and communication technology
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 50 tables, color; 44 illustrations, color; 14 illustrations, black and white; xii, 179 p. 58 illus., 44 illus. in color.
Размер: 23.39 x 15.60 x 1.27 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book addresses the issues with privacy and security in Internet of things (IoT) networks which are susceptible to cyber-attacks and proposes deep learning-based approaches using artificial neural networks models to achieve a safer and more secured IoT environment.


Privacy Preservation in IoT: Machine Learning Approaches: A Comprehensive Survey and Use Cases

Автор: Qu Youyang, Gao Longxiang, Yu Shui
Название: Privacy Preservation in IoT: Machine Learning Approaches: A Comprehensive Survey and Use Cases
ISBN: 9811917965 ISBN-13(EAN): 9789811917967
Издательство: Springer
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Цена: 7685.00 р.
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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.

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

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

Security and Privacy Preserving for Iot and 5g Networks: Techniques, Challenges, and New Directions

Автор: Abd El-Latif Ahmed A., Abd-El-Atty Bassem, Venegas-Andraca Salvador E.
Название: Security and Privacy Preserving for Iot and 5g Networks: Techniques, Challenges, and New Directions
ISBN: 3030854272 ISBN-13(EAN): 9783030854270
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book presents state-of-the-art research on security and privacy- preserving for IoT and 5G networks and applications. The accepted book chapters covered many themes, including traceability and tamper detection in IoT enabled waste management networks, secure Healthcare IoT Systems, data transfer accomplished by trustworthy nodes in cognitive radio, DDoS Attack Detection in Vehicular Ad-hoc Network (VANET) for 5G Networks, Mobile Edge-Cloud Computing, biometric authentication systems for IoT applications, and many other applications It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on security and privacy- preserving for IoT and 5G networks.

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 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
Рейтинг:
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.

Privacy, Security And Forensics in The Internet of Things (IoT)

Автор: Montasari
Название: Privacy, Security And Forensics in The Internet of Things (IoT)
ISBN: 3030912175 ISBN-13(EAN): 9783030912178
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book provides the most recent security, privacy, technical and legal challenges in the IoT environments. This book offers a wide range of theoretical and technical solutions to address these challenges. Topics covered in this book include; IoT, privacy, ethics and security, the use of machine learning algorithms in classifying malicious websites, investigation of cases involving cryptocurrency, the challenges police and law enforcement face in policing cyberspace, the use of the IoT in modern terrorism and violent extremism, the challenges of the IoT in view of industrial control systems, and the impact of social media platforms on radicalisation to terrorism and violent extremism. This book also focuses on the ethical design of the IoT and the large volumes of data being collected and processed in an attempt to understand individuals’ perceptions of data and trust. A particular emphasis is placed on data ownership and perceived rights online. It examines cyber security challenges associated with the IoT, by making use of Industrial Control Systems, using an example with practical real-time considerations. Furthermore, this book compares and analyses different machine learning techniques, i.e., Gaussian Process Classification, Decision Tree Classification, and Support Vector Classification, based on their ability to learn and detect the attributes of malicious web applications. The data is subjected to multiple steps of pre-processing including; data formatting, missing value replacement, scaling and principal component analysis. This book has a multidisciplinary approach. Researchers working within security, privacy, technical and legal challenges in the IoT environments and advanced-level students majoring in computer science will find this book useful as a reference. Professionals working within this related field will also want to purchase this book.


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