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Combating Security Challenges in the Age of Big Data : Powered by State-of-the-Art Artificial Intelligence Techniques 🔍
Zubair Md Fadlullah; Al-Sakib Khan Pathan; SpringerLink (Online service) Springer International Publishing : Imprint: Springer, Advanced Sciences and Technologies for Security Applications, Advanced Sciences and Technologies for Security Applications, 1, 2020
英语 [en] · PDF · 9.6MB · 2020 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/upload/zlib · Save
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 authentication and encryption need to scale well with all the stages of the big data centric system to effectively combat security threats and vulnerabilities. The book also uncovers the state of the art technologies like deep learning and blockchain which can dramatically change the security landscape in the big data era. .
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nexusstc/Combating Security Challenges in the Age of Big Data: Powered by State-of-the-Art Artificial Intelligence Techniques/5af0c0947c197dbe9445be38239ca83b.pdf
备用文件名
lgli/10.1007%2F978-3-030-35642-2.pdf
备用文件名
lgrsnf/10.1007%2F978-3-030-35642-2.pdf
备用文件名
scihub/10.1007/978-3-030-35642-2.pdf
备用文件名
zlib/Computers/Computer Science/Zubair Md. Fadlullah, Al-Sakib Khan Pathan/Combating Security Challenges in the Age of Big Data: Powered by State-of-the-Art Artificial Intelligence Techniques_11237177.pdf
备选作者
Fadlullah, Zubair Md.; Khan Pathan, Al-Sakib
备用出版商
Springer Nature Switzerland AG
备用出版商
Springer, Cham
备用版本
Advanced sciences and technologies for security applications, First edition 2020, Cham :, 2020
备用版本
Advanced sciences and technologies for security applications, 1st ed. 2020, Cham, 2020
备用版本
Springer Nature, Cham, 2020
备用版本
Switzerland, Switzerland
备用版本
May 27, 2020
备用版本
1, 20200526
元数据中的注释
lg2914203
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producers:
Adobe PDF Library 10.0.1
元数据中的注释
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元数据中的注释
类型: 图书
元数据中的注释
出版日期: 2020
元数据中的注释
出版社: Springer, Cham
元数据中的注释
Source title: Combating Security Challenges in the Age of Big Data: Powered by State-of-the-Art Artificial Intelligence Techniques (Advanced Sciences and Technologies for Security Applications)
备用描述
Front Matter ....Pages i-xvi
Secure Big Data Transmission with Trust Management for the Internet of Things (IoT) (A. K. Fabi, Sabu M. Thampi)....Pages 1-27
Concept Drift for Big Data (Raihan Seraj, Mohiuddin Ahmed)....Pages 29-43
Classification of Outlier’s Detection Methods Based on Quantitative or Semantic Learning (Rasha Kashef, Michael Gencarelli, Ahmed Ibrahim)....Pages 45-59
Cognitive Artificial Intelligence Countermeasure for Enhancing the Security of Big Data Hardware from Power Analysis Attack (Septafiansyah Dwi Putra, Arwin Datumaya Wahyudi Sumari, Adang Suwandi Ahmad, Sarwono Sutikno, Yusuf Kurniawan)....Pages 61-86
On the Secure Routing Protocols, Selfishness Mitigation, and Trust in Mobile Ad Hoc Networks (Uttam Ghosh, Pushpita Chatterjee, Al-Sakib Khan Pathan)....Pages 87-104
Deep Learning Approaches for IoT Security in the Big Data Era (K. S. Sunitha Krishnan, Sabu M. Thampi)....Pages 105-135
Deep Learning Meets Malware Detection: An Investigation (Biozid Bostami, Mohiuddin Ahmed)....Pages 137-155
The Utilization of Blockchain for Enhancing Big Data Security and Veracity (Satriyo Wibowo, Arwin Datumaya Wahyudi Sumari)....Pages 157-187
Authentication Methodology for Securing Machine-to-Machine Communication in Smart Grid (Zubair Md. Fadlullah, Mostafa M. Fouda)....Pages 189-213
Combating Intrusions in Smart Grid: Practical Defense and Forecasting Approaches (Zubair Md. Fadlullah, Mostafa M. Fouda)....Pages 215-235
Blockchain-Based Distributed Key Management Approach Tailored for Smart Grid (Mohamed Baza, Mostafa M. Fouda, Mahmoud Nabil, Adly Tag Eldien, Hala Mansour, Mohamed Mahmoud)....Pages 237-263
Back Matter ....Pages 265-266
备用描述
Advanced Sciences and Technologies for Security Applications
Erscheinungsdatum: 27.05.2020
开源日期
2021-01-06
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