Cloud Networking For Big Data


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Cloud Computing Enabled Big-data Analytics in Wireless Ad-hoc Networks


Cloud Computing Enabled Big-data Analytics in Wireless Ad-hoc Networks

Author: Sanjoy Das

language: en

Publisher:

Release Date: 2022


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"This reference text covers intelligent computing through Internet of Things (IoT) and Big Data in Vehicular Environment in a single volume. The text covers important topics including topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular Ad-hoc network, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna"--

Handbook of Research on Cloud Infrastructures for Big Data Analytics


Handbook of Research on Cloud Infrastructures for Big Data Analytics

Author: Raj, Pethuru

language: en

Publisher: IGI Global

Release Date: 2014-03-31


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Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

Security and Privacy for Big Data, Cloud Computing and Applications


Security and Privacy for Big Data, Cloud Computing and Applications

Author: Wei Ren

language: en

Publisher: Institution of Engineering and Technology

Release Date: 2019-08-14


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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.