Big Data and Security [electronic resource] : Third International Conference, ICBDS 2021, Shenzhen, China, November 26–28, 2021, Proceedings /

Contributor(s):

Material type: Text

TextSeries: Communications in Computer and Information Science ; 1563Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XVI, 751 p. 349 illus., 222 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789811908521

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

621.39 23
004.6 23

LOC classification:

TK7885-7895
TK5105.5-5105.9

Online resources:

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Contents:

Cybersecurity and Privacy -- Big Data -- Blockchain and Internet of Things -- Artificial Intelligence/Machine Learning Security.

In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the Third International Conference on Big Data and Security, ICBDS 2021, held in Shenzhen, China, in November 2021 The 46 revised full papers and 13 short papers were carefully reviewed and selected out of 221 submissions. The papers included in this volume are organized according to the topical sections on cybersecurity and privacy; big data; blockchain and internet of things, and artificial intelligence/ machine learning security.

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Cybersecurity and Privacy -- Big Data -- Blockchain and Internet of Things -- Artificial Intelligence/Machine Learning Security.

This book constitutes the refereed proceedings of the Third International Conference on Big Data and Security, ICBDS 2021, held in Shenzhen, China, in November 2021 The 46 revised full papers and 13 short papers were carefully reviewed and selected out of 221 submissions. The papers included in this volume are organized according to the topical sections on cybersecurity and privacy; big data; blockchain and internet of things, and artificial intelligence/ machine learning security.

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