UID:
almahu_9949385584302882
Format:
1 online resource (1 volume) :
,
illustrations (black and white, and colour)
Edition:
First edition.
ISBN:
9781003194538
,
1003194532
,
9781000619058
,
1000619052
,
9781000619133
,
1000619133
Content:
"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"--
Note:
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.
Additional Edition:
Print version: Trust, security and privacy for big data. Boca Raton, FL : CRC Press, 2022 ISBN 9781032047508
Language:
English
Keywords:
Electronic books.
DOI:
10.1201/9781003194538
URL:
https://www.taylorfrancis.com/books/9781003194538
Bookmarklink
