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Security And Privacy For Big Data Cloud Computing And Applications 2019 Edition at Meripustak

Security And Privacy For Big Data Cloud Computing And Applications 2019 Edition by Wei Ren, Lizhe Wang, IET PUBLISHING

Books from same Author: Wei Ren, Lizhe Wang

Books from same Publisher: IET PUBLISHING

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  • General Information  
    Author(s)Wei Ren, Lizhe Wang
    PublisherIET PUBLISHING
    ISBN9781785617478
    Pages328
    BindingHardbound
    LanguageEnglish
    Publish YearOctober 2019

    Description

    IET PUBLISHING Security And Privacy For Big Data Cloud Computing And Applications 2019 Edition by Wei Ren, Lizhe Wang

    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. 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



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