Blockchain for Big Data: AI, IoT, and Cloud Perspectives

Dublin Core

Title

Blockchain for Big Data: AI, IoT, and Cloud Perspectives

Creator

Shaoliang Peng

Description

In recent years, the fast-paced development of social information and networks has led to the explosive growth of data. A variety of big data have emerged, encouraging researchers to make business decisions by analyzing this data. However, many challenges remain, especially concerning data security and privacy. Big data security and privacy threats permeate every link of the big data industry chain, such as data production, collection, processing, and sharing, and the causes of risk are complex and interwoven. Blockchain technology has been highly praised and recognized for its decentralized infrastructure, anonymity, security, and other characteristics, and it will change the way we access and share information. In this book, the author demonstrates how blockchain technology can overcome some limitations in big data technology and can promote the development of big data while also helping to overcome security and privacy challenges. The author investigates research into and the application of blockchain technology in the field of big data and assesses the attendant advantages and challenges while discussing the possible future directions of the convergence of blockchain and big data. After mastering concepts and technologies introduced in this work, readers will be able to understand the technical evolution, similarities, and differences between blockchain and big data technology, allowing them to further apply it in their development and research.

Subject

The Big Three: Artificial Intelligence, Blockchain, and Big Data Applications

Publisher

CRC Press, Taylor & Francis Group

Date

2021

Format

PDF

Language

English

Type

Text