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  5. Privacy-Aware Blockchain Innovation for 6G: Challenges and Opportunities
 
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Privacy-Aware Blockchain Innovation for 6G: Challenges and Opportunities

Author(s)
Nguyen, Tri  
Tran, Ngoc  
Loven, Lauri  
Kechadi, Tahar  
Uri
http://hdl.handle.net/10197/11700
Date Issued
2020-03-20
Date Available
2020-11-13T08:55:09Z
Embargo end date
2020-03-21
Abstract
6G wireless networks improve on 5G by further increasing reliability, speeding up the networks and increasing the available bandwidth. These evolutionary enhancements, together with a number of evolutionary improvements such as high precision 3D localization, ultra-high reliability and extreme mobility, introduce a new generation of 6G-native applications. Such application can be based on, for example, distributed, ubiquitous Artificial Intelligence (AI) and ultra-reliable, low-latency Internet of Things (IoT). Along with the enhanced connectivity and novel applications, privacy and security of the networks and the applications must be ensured. Distributed ledger technologies such as blockchain provide one solution for application security and privacy, but introduce their own set of security and privacy risks. In this work, we discuss the opportunities and challenges related to blockchain usage in 6G, and map out possible directions for overtaking the challenges.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2020 IEEE
Subjects

5G

6G

Blockchain

Privacy

Security

DOI
10.1109/6GSUMMIT49458.2020.9083832
Web versions
https://www.6gsummit.com/
Language
English
Status of Item
Peer reviewed
Journal
2020 2nd 6G Wireless Summit (6G SUMMIT)
Conference Details
6G Wireless Summit, Levi, Finland, 17-20 March 2020
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
No Thumbnail Available
Name

insight_publication.pdf

Size

225.52 KB

Format

Adobe PDF

Checksum (MD5)

8263cb6845795e277fc0f149fd944b39

Owning collection
Insight Research Collection
Mapped collections
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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