Machine learning approaches for convergence of IoT and Blockchain / edited by Krishna Kant Singh, Akansha Singh and Sanjay Sharma.

The digital revolution is characterized by the convergence of technologies, rapidly advancing the 4th industrial revolution thereby blurring the lines between physical, digital and biological objects. The speed of the fourth revolution which evolves at an exponential rate cannot by any means be comp...

Full description

Saved in:
Bibliographic Details
Online Access: Full Text (via Skillsoft)
Other Authors: Singh, Krishna Kant (Telecommunications professor), Singh, Akansha, Sharma, Sanjay K.
Format: Electronic eBook
Language:English
Published: Hoboken, NJ : Beverly, MA : Wiley ; Scrivener Publishing, 2021.
Subjects:

MARC

LEADER 00000cam a2200000 a 4500
001 b12302461
005 20231215081412.0
006 m o d
007 cr |||||||||||
008 210731s2021 nju ob 001 0 eng d
015 |a GBC1B9549  |2 bnb 
016 7 |a 020273889  |2 Uk 
019 |a 1261306602  |a 1262332064 
020 |a 9781119761884  |q (electronic bk. ;  |q oBook) 
020 |a 1119761883  |q (electronic bk. ;  |q oBook) 
020 |a 9781119761808 
020 |a 1119761808 
020 |a 1119761875 
020 |a 9781119761877  |q (electronic bk.) 
020 |z 1119761743 
020 |z 9781119761747 
024 7 |a 10.1002/9781119761884  |2 doi 
029 1 |a AU@  |b 000069692611 
029 1 |a AU@  |b 000069704015 
029 1 |a UKMGB  |b 020273889 
029 1 |a AU@  |b 000070083267 
035 |a (OCoLC)sks1262372855 
035 |a (OCoLC)1262372855  |z (OCoLC)1261306602  |z (OCoLC)1262332064 
037 |a sks158029 
040 |a EBLCP  |b eng  |e pn  |c EBLCP  |d YDX  |d DG1  |d OCLCO  |d UKAHL  |d TOH  |d OCLCF  |d UKMGB  |d N$T  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCL 
049 |a GWRE 
050 4 |a Q325.5 
245 0 0 |a Machine learning approaches for convergence of IoT and Blockchain /  |c edited by Krishna Kant Singh, Akansha Singh and Sanjay Sharma. 
260 |a Hoboken, NJ :  |b Wiley ;  |a Beverly, MA :  |b Scrivener Publishing,  |c 2021. 
300 |a 1 online resource (256 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 0 |a Print version record. 
505 0 |a Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Blockchain and Internet of Things Across Industries -- 1.1 Introduction -- 1.2 Insight About Industry -- 1.2.1 Agriculture Industry -- 1.2.2 Manufacturing Industry -- 1.2.3 Food Production Industry -- 1.2.4 Healthcare Industry -- 1.2.5 Military -- 1.2.6 IT Industry -- 1.3 What is Blockchain? -- 1.4 What is IoT? -- 1.5 Combining IoT and Blockchain -- 1.5.1 Agriculture Industry -- 1.5.2 Manufacturing Industry -- 1.5.3 Food Processing Industry -- 1.5.4 Healthcare Industry -- 1.5.5 Military 
505 8 |a 1.5.6 Information Technology Industry -- 1.6 Observing Economic Growth and Technology's Impact -- 1.7 Applications of IoT and Blockchain Beyond Industries -- 1.8 Conclusion -- References -- 2 Layered Safety Model for IoT Services Through Blockchain -- 2.1 Introduction -- 2.1.1 IoT Factors Impacting Security -- 2.2 IoT Applications -- 2.3 IoT Model With Communication Parameters -- 2.3.1 RFID (Radio Frequency Identification) -- 2.3.2 WSH (Wireless Sensor Network) -- 2.3.3 Middleware (Software and Hardware) -- 2.3.4 Computing Service (Cloud) -- 2.3.5 IoT Software 
505 8 |a 2.4 Security and Privacy in IoT Services -- 2.5 Blockchain Usages in IoT -- 2.6 Blockchain Model With Cryptography -- 2.6.1 Variations of Blockchain -- 2.7 Solution to IoT Through Blockchain -- 2.8 Conclusion -- References -- 3 Internet of Things Security Using AI and Blockchain -- 3.1 Introduction -- 3.2 IoT and Its Application -- 3.3 Most Popular IoT and Their Uses -- 3.4 Use of IoT in Security -- 3.5 What is AI? -- 3.6 Applications of AI -- 3.7 AI and Security -- 3.8 Advantages of AI -- 3.9 Timeline of Blockchain -- 3.10 Types of Blockchain -- 3.11 Working of Blockchain 
505 8 |a 3.12 Advantages of Blockchain Technology -- 3.13 Using Blockchain Technology With IoT -- 3.14 IoT Security Using AI and Blockchain -- 3.15 AI Integrated IoT Home Monitoring System -- 3.16 Smart Homes With the Concept of Blockchain and AI -- 3.17 Smart Sensors -- 3.18 Authentication Using Blockchain -- 3.19 Banking Transactions Using Blockchain -- 3.20 Security Camera -- 3.21 Other Ways to Fight Cyber Attacks -- 3.22 Statistics on Cyber Attacks -- 3.23 Conclusion -- References -- 4 Amalgamation of IoT, ML, and Blockchain in the Healthcare Regime -- 4.1 Introduction 
505 8 |a 4.2 What is Internet of Things? -- 4.2.1 Internet of Medical Things -- 4.2.2 Challenges of the IoMT -- 4.2.3 Use of IoT in Alzheimer Disease -- 4.3 Machine Learning -- 4.3.1 Case 1: Multilayer Perceptron Network -- 4.3.2 Case 2: Vector Support Machine -- 4.3.3 Applications of the Deep Learning in the Healthcare Sector -- 4.4 Role of the Blockchain in the Healthcare Field -- 4.4.1 What is Blockchain Technology? -- 4.4.2 Paradigm Shift in the Security of Healthcare Data Through Blockchain -- 4.5 Conclusion -- References -- 5 Application of Machine Learning and IoT for Smart Cities 
500 |a 5.1 Functionality of Image Analytics. 
504 |a Includes bibliographical references and index. 
520 |a The digital revolution is characterized by the convergence of technologies, rapidly advancing the 4th industrial revolution thereby blurring the lines between physical, digital and biological objects. The speed of the fourth revolution which evolves at an exponential rate cannot by any means be compared with any previous technologies. AI and IoT employ the interactions and operations in various fields such as home appliances, autonomous vehicles, nanotechnology, robotics, cognitive systems, self-driving cars and wearable devices. The potential of blockchain technology is realized in many sectors as security plays a crucial role everywhere. This book deeply discusses two of the most critical emerging fields of machine learning: blockchain technology and the Internet of Things. 
650 0 |a Machine learning. 
650 0 |a Internet of things. 
650 0 |a Blockchains (Databases) 
650 7 |a Blockchains (Databases)  |2 fast 
650 7 |a Internet of things  |2 fast 
650 7 |a Machine learning  |2 fast 
700 1 |a Singh, Krishna Kant  |q (Telecommunications professor)  |1 https://id.oclc.org/worldcat/entity/E39PCjGky6kMQ483JRwvk4jBKb 
700 1 |a Singh, Akansha. 
700 1 |a Sharma, Sanjay K. 
776 0 8 |i Print version:  |a Singh, Krishna Kant.  |t Machine Learning Approaches for Convergence of IoT and Blockchain.  |d Newark : John Wiley & Sons, Incorporated, ©2021  |z 9781119761747 
856 4 0 |u https://ucblibraries.skillport.com/skillportfe/main.action?assetid=158029  |z Full Text (via Skillsoft) 
915 |a - 
956 |a Skillsoft ITPro 
956 |b Skillsoft ITPro Skillport Collection 
994 |a 92  |b COD 
998 |b Subsequent record output 
999 f f |i 92891412-235c-53a8-8b55-e71ddab964b3  |s 171018c6-1898-5271-baa2-bdf0947c130d 
952 f f |p Can circulate  |a University of Colorado Boulder  |b Online  |c Online  |d Online  |e Q325.5  |h Library of Congress classification  |i web  |n 1