Trust, security and privacy for big data / editors Mamoun Alazab, Charles Darwin University, Casuarina Campus, Ellengowan Drive, Darwin, Australia, Maanak Gupta, Tennessee Technological University, Cookeville, USA.

Other author Alazab, Mamoun, 1980-
Other author Gupta, Maanak, 1989-
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : CRC Press, Taylor and Francis Group, 2022.
Description1 online resource (vii, 202 pages)
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

Partial contents DigImoPriv : a big data framework for preserving privacy of digital immortals / Kumar Vikram and Muhammad Rizwan Asghar -- Federated learning role in big data, Iot services and applications security, privacy and trust in Iot : a survey / Supriya y and Thippa Reddy Gadekallu -- From the cloud to the edge : towards a distributed and light weight secure big data pipelines for IoT applications / Feras M Awaysheh.
Abstract "Data has revolutionized the current digital ecosystem. The readily available large datasets foster AI and machine learning automated solutions. However, the data format and its collection from various sources not only introduce unprecedented challenges to different domains including IoT, manufacturing, smart cars, power grids etc, but at the same time highlights the security and privacy issues in this age of big data. The humongous scale of extraordinary scale, security and privacy in big data faces many challenges, such as generative adversary networks, efficient encryption and decryption algorithms, encrypted information retrieval, attribute-based encryption, attacks on availability, and reliability. The purpose of this book is to offer a timely venue for researchers and industry partners in communications and networking domains to present and discuss their latest results in security and privacy related work of big data"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher; resource not viewed.
Issued in other formPrint version: Trust, security and privacy for big data Boca Raton : CRC Press, Taylor & Francis Group, 2022. 9781032047508
Genre/formElectronic books.
LCCN 2023701904
ISBN9781000619133 ebook
ISBN(hbk)
ISBN(pbk)

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