Combating Security Challenges in the Age of Big Data Powered by State-of-the-Art Artificial Intelligence Techniques /
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 ordi...
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| Other Authors: | , |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
| Series: | Advanced Sciences and Technologies for Security Applications,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-35642-2 |
Table of Contents:
- Secure Big data Transmission with Trust management for the Internet of Things (IoT)
- Concept Drift for Big Data
- Classification of Outlier’s Detection Methods Based on Quantitative Or Semantic Learning
- Cognitive Artificial Intelligence Countermeasure For Enhancing The Security Of Big Data Hardware From Power Analysis Attack
- On the Secure Routing Protocols, Selfishness Mitigation, and Trust in Mobile Ad Hoc Networks
- Deep Learning Approaches For IoT Security In The Big Data Era
- Deep Learning meets Malware Detection: An Investigation
- The Utilization of Blockchain for Enhancing Big Data Security and Veracity
- Authentication Methodology for Securing Machine-to-Machine Communication in Smart Grid
- Combating Intrusions in Smart Grid: Practical Defense and Forecasting Approaches
- Blockchain-based Distributed Key Management Approach Tailored for Smart Grid.