The Roadmap to 6G Security and Privacy

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Title: The Roadmap to 6G Security and Privacy
Authors: Porambage, PawaniGur, GurkanOsorio, Diana Pamela MoyaLiyanage, MadhusankaGurtov, AndreiYlianttila, Mika
Permanent link: http://hdl.handle.net/10197/12160
Date: 10-May-2021
Online since: 2021-05-17T15:36:21Z
Abstract: Although the fifth generation (5G) wireless networks are yet to be fully investigated, the visionaries of the 6th generation (6G) echo systems have already come into the discussion. Therefore, in order to consolidate and solidify the security and privacy in 6G networks, we survey how security may impact the envisioned 6G wireless systems, possible challenges with different 6G technologies, and the potential solutions. We provide our vision on 6G security and security key performance indicators (KPIs) with the tentative threat landscape based on the foreseen 6G network architecture. Moreover, we discuss the security and privacy challenges that may encounter with the available 6G requirements and potential 6G applications. We also give the reader some insights into the standardization efforts and research-level projects relevant to 6G security. In particular, we discuss the security considerations with 6G enabling technologies such as distributed ledger technology (DLT), physical layer security, distributed AI/ML, visible light communication (VLC), THz, and quantum computing. All in all, this work intends to provide enlightening guidance for the subsequent research of 6G security and privacy at this initial phase of vision towards reality.
Funding Details: European Commission Horizon 2020
University College Dublin
Funding Details: 6Genesis Flagship
5GEAR
Type of material: Journal Article
Publisher: IEEE
Journal: IEEE Open Journal of the Communications Society
Keywords: 6GSecuritySecurity threatsAI/ML securityDLTPhysical layer securityPrivacyQuantum computing
DOI: 10.1109/ojcoms.2021.3078081
Language: en
Status of Item: Peer reviewed
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by/3.0/ie/
Appears in Collections:Computer Science Research Collection

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