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Privacy-aware blockchain innovation for 6G : challenges and opportunities |
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| Author: | Nguyen, Tri1; Tran, Ngoc2; Loven, Lauri1; |
| Organizations: |
1Center for Ubiquitous Computing, University of Oulu, Finland 2Insight Centre for Data Analytics, University College Dublin, Ireland 3Center for Machine Vision and Signal Analysis, University of Oulu, Finland
4School of Computer Science, University College Dublin, Ireland
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| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.2 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2020050825685 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2020
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| Publish Date: | 2020-05-08 |
| Description: |
Abstract6G 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 revolutionary 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. see all
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| ISBN: | 978-1-7281-6047-4 |
| ISBN Print: | 978-1-7281-6048-1 |
| Pages: | 1 - 5 |
| DOI: | 10.1109/6GSUMMIT49458.2020.9083832 |
| OADOI: | https://oadoi.org/10.1109/6GSUMMIT49458.2020.9083832 |
| Host publication: |
2020 2nd 6G Wireless Summit (6G SUMMIT) |
| Conference: |
2020 2nd 6G Wireless Summit (6G SUMMIT) |
| Type of Publication: |
A4 Article in conference proceedings |
| Field of Science: |
113 Computer and information sciences |
| Subjects: | |
| Funding: |
This work is supported by TrustedMaaS and B-TEA projects by the Infotech institute of the University of Oulu, Academy of Finland 6Genesis Flagship (grant 318927), the MEC-AI project of the Future Makers program, the Science Foundation Ireland (grant 12/RC/2289 P2), and by the grant for mr. Lovén on EdgeAI research by the Tauno T¨onning foundation. |
| Academy of Finland Grant Number: |
318927 |
| Detailed Information: |
318927 (Academy of Finland Funding decision) |
| Copyright information: |
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |