书目名称 | Combating Security Challenges in the Age of Big Data | 副标题 | Powered by State-of- | 编辑 | Zubair Md. Fadlullah,Al-Sakib Khan Pathan | 视频video | | 概述 | Offers a comprehensive coverage of the main topic, ranging from big data analytics to protection.Provides an up-to-date source on computing/network security and resilience contributed by international | 丛书名称 | Advanced Sciences and Technologies for Security Applications | 图书封面 |  | 描述 | .This book addresses the key security challenges in the big data centric computing and network systems, and discusses how to tackle them using a mix of conventional and state-of-the-art techniques. The incentive for joining big data and advanced analytics is no longer in doubt for businesses and ordinary users alike. Technology giants like Google, Microsoft, Amazon, Facebook, Apple, and companies like Uber, Airbnb, NVIDIA, Expedia, and so forth are continuing to explore new ways to collect and analyze big data to provide their customers with interactive services and new experiences. With any discussion of big data, security is not, however, far behind. Large scale data breaches and privacy leaks at governmental and financial institutions, social platforms, power grids, and so forth, are on the rise that cost billions of dollars. .The book explains how the security needs and implementations are inherently different at different stages of the big data centric system, namely at the point of big data sensing and collection, delivery over existing networks, and analytics at the data centers. Thus, the book sheds light on how conventional security provisioning techniques like authenticat | 出版日期 | Book 2020 | 关键词 | Big Data Analytics and Security; Cloud Computing Resiliency; Internet of Things Security; Blockchain Ba | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-35642-2 | isbn_softcover | 978-3-030-35644-6 | isbn_ebook | 978-3-030-35642-2Series ISSN 1613-5113 Series E-ISSN 2363-9466 | issn_series | 1613-5113 | copyright | Springer Nature Switzerland AG 2020 |
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