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Artificial Intelligence in Industry 4.0 and 5G Technology
book

Artificial Intelligence in Industry 4.0 and 5G Technology

by Pandian Vasant, Elias Munapo, J. Joshua Thomas, Gerhard-Wilhelm Weber
July 2022
Beginner to intermediate
352 pages
10h 14m
English
Wiley
Content preview from Artificial Intelligence in Industry 4.0 and 5G Technology

1Dynamic Key‐based Biometric End‐User Authentication Proposal for IoT in Industry 4.0

Subhash Mondal, Swapnoj Banerjee, Soumodipto Halder, and Diganta Sengupta

Maulana Abul Kalam Azad University of Technology, Meghnad Saha Institute of Technology, Department of Computer Science and Engineering, Behind Urbana Complex Near, Ruby General Hospital, Nazirabad Rd, Uchhepota, Kolkata, West Bengal, 700150, India

1.1 Introduction

Internet of Things (IoT) has emerged as one of the top research and subsequent application domains lately, accounting for a rise from 4.7 billion connected devices in 2016 [1] to 11.7 billion in 2020 [2], and having a projected upper ceiling expansion of 30 billion in 2025 [2]. The phenomenal rise in IoT has also led to Distributed Denial of Service (DDoS) attacks by cybercriminals [1], which is expected to gain further momentum by 2025 owing to the explosive rise in IoT devices, approximately four devices per person [1]. Hence, the security of the IoT architecture in both the middleware and the edges has attracted huge global research. This chapter concentrates on securing the edge framework of the IoT architecture by generating a dynamic (cipher) key based on fingerprint impressions (images) of the end user. IoT devices are typically grouped into different clusters [3] having gateways (cluster heads). These gateways are further inter‐connected via the cloud platform [4,5]. The devices within the cluster communicate with each other and with the internet through ...

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Publisher Resources

ISBN: 9781119798767Purchase Link