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Security and Privacy for Big Data, Cloud Computing and Applications

Contributor(s): Ren, Wei (Editor), Wang, Lizhe (Editor), Choo, Kim-Kwang Raymond (Editor), Xhafa, Fatos (Editor)

ISBN: 9781785617478

Publisher: Institution of Engineering & Technology

Hardcover
$160.00
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Pub Date: October 9, 2019

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.90" H x 9.40" L x 6.30" W ( 1.40 lbs) 328 pages

BISAC Categories:

Computers | Security | General

Series: Computing and Networks

Descriptions, Reviews, etc.

Description:

As big data becomes increasingly pervasive and cloud computing utilization becomes the norm, the security and privacy of our systems and data becomes more critical with emerging security and privacy threats and challenges. This book presents a comprehensive view on how to advance security and privacy in big data, cloud computing, and their applications. Topics include cryptographic tools, SDN security, big data security in IoT, privacy preserving in big data, security architecture based on cyber kill chain, privacy-aware digital forensics, trustworthy computing, privacy verification based on machine learning, and chaos-based communication systems. This book is an essential reading for networking, computing, and communications professionals, researchers, students and engineers, working with big data and cloud computing.

Brief description:

Lizhe Wang is a "ChuTian" Chair Professor at School of Computer Science, China Univ. of Geosciences (CUG).

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