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Full 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.
Contents
Chapter 1: Privacy preserving in big data
Chapter 2: Privacy-preserving analysis for big data using cryptographic tools
Chapter 3: Big data security in Internet of Things
Chapter 4: A watermark-based in situ access-control model for image big data
Chapter 5: Blockchain-based security and access control for BIM big data
Chapter 6: Security of marine-information system
Chapter 7: A layered security architecture based on cyber kill chain against advanced persistent threats
Chapter 8: Privacy-aware digital forensics
Chapter 9: A survey of trust, trustworthiness and trustworthy computing: concepts, models and challenges
Chapter 10: Software-defined mobile networks security
Chapter 11: Dynamic public opinion evolvement modeling and supervision in social networks
Chapter 12: Privacy verification of PhotoDNA based on machine learning
Chapter 13: Chaos-based communication systems
