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Security and Privacy for Big Data, Cloud Computing and Applications

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  • Дата: 8-10-2019, 13:01
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Название: Security and Privacy for Big Data, Cloud Computing and Applications
Автор: Wei Ren, Lizhe Wang
Издательство: The Institution of Engineering and Technology
Год: 2019
Страниц: 330
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

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.

The Internet-of-Things (IoT) paradigm is an emerging twenty-first century technological revolution, a concept that facilitates to communicate with objects, devices, and machines at unprecedented scale. Nowadays, IoT is extensively applied to numerous applications such as intelligent transportation, smart security, smart grid, and smart home. Now, considering that in the near future, millions of devices will be interconnected and will be producing enormous data, the privacy and security of data going to be challenged and private information may leak at any time. This book presents an overview of the IoT and security concerns on big data while we discuss privacy and security approaches for big data with reference to infrastructure, application, and data.

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