Data Privacy Preservation on the Internet of Things

Fuente: arXiv
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Bibliographic Details
Main Authors: Sen, Jaydip, Dasgupta, Subhasis
Format: Preprint
Published: 2023
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author Sen, Jaydip
Dasgupta, Subhasis
author_facet Sen, Jaydip
Dasgupta, Subhasis
contents Recent developments in hardware and information technology have enabled the emergence of billions of connected, intelligent devices around the world exchanging information with minimal human involvement. This paradigm, known as the Internet of Things (IoT) is progressing quickly with an estimated 27 billion devices by 2025. This growth in the number of IoT devices and successful IoT services has generated a tremendous amount of data. However, this humongous volume of data poses growing concerns for user privacy. This introductory chapter has presented a brief survey of some of the existing data privacy-preservation schemes proposed by researchers in the field of the Internet of Things.
format Preprint
id arxiv_https___arxiv_org_abs_2304_00258
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Data Privacy Preservation on the Internet of Things
Sen, Jaydip
Dasgupta, Subhasis
Cryptography and Security
Machine Learning
Recent developments in hardware and information technology have enabled the emergence of billions of connected, intelligent devices around the world exchanging information with minimal human involvement. This paradigm, known as the Internet of Things (IoT) is progressing quickly with an estimated 27 billion devices by 2025. This growth in the number of IoT devices and successful IoT services has generated a tremendous amount of data. However, this humongous volume of data poses growing concerns for user privacy. This introductory chapter has presented a brief survey of some of the existing data privacy-preservation schemes proposed by researchers in the field of the Internet of Things.
title Data Privacy Preservation on the Internet of Things
topic Cryptography and Security
Machine Learning
url https://arxiv.org/abs/2304.00258