๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Security and Privacy for Big Data, Cloud Computing and Applications

โœ Scribed by Wei Ren, Lizhe Wang, Kim-Kwang Raymond Choo, Fatos Xhafa


Publisher
The Institution of Engineering and Technology
Year
2019
Tongue
English
Leaves
330
Series
IET Computing 28
Category
Library

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โœฆ Synopsis


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.

โœฆ Table of Contents


Chapter 1: Privacy preserving in big dataChapter 2: Privacy-preserving analysis for big data using cryptographic toolsChapter 3: Big data security in Internet of ThingsChapter 4: A watermark-based in situ access-control model for image big dataChapter 5: Blockchain-based security and access control for BIM big dataChapter 6: Security of marine-information systemChapter 7: A layered security architecture based on cyber kill chain against advanced persistent threatsChapter 8: Privacy-aware digital forensicsChapter 9: A survey of trust, trustworthiness and trustworthy computing: concepts, models and challengesChapter 10: Software-defined mobile networks securityChapter 11: Dynamic public opinion evolvement modeling and supervision in social networksChapter 12: Privacy verification of PhotoDNA based on machine learningChapter 13: Chaos-based communication systems

โœฆ Subjects


Big data -- Security measures;Cloud computing -- Security measures


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