[论文解读] 6G White paper: Research challenges for Trust, Security and Privacy

Mika Ylianttila, Raimo Kantola+25 more|arXiv (Cornell University)|Apr 24, 2020

IoT and Edge/Fog Computing参考文献 22被引用 108

一句话总结

本论文将多学科研究挑战映射到在6G中构建信任、安全与隐私，覆盖信任建模、整体安全体系结构，以及隐私保护方法。

ABSTRACT

The roles of trust, security and privacy are somewhat interconnected, but different facets of next generation networks. The challenges in creating a trustworthy 6G are multidisciplinary spanning technology, regulation, techno-economics, politics and ethics. This white paper addresses their fundamental research challenges in three key areas. Trust: Under the current "open internet" regulation, the telco cloud can be used for trust services only equally for all users. 6G network must support embedded trust for increased level of information security in 6G. Trust modeling, trust policies and trust mechanisms need to be defined. 6G interlinks physical and digital worlds making safety dependent on information security. Therefore, we need trustworthy 6G. Security: In 6G era, the dependence of the economy and societies on IT and the networks will deepen. The role of IT and the networks in national security keeps rising - a continuation of what we see in 5G. The development towards cloud and edge native infrastructures is expected to continue in 6G networks, and we need holistic 6G network security architecture planning. Security automation opens new questions: machine learning can be used to make safer systems, but also more dangerous attacks. Physical layer security techniques can also represent efficient solutions for securing less investigated network segments as first line of defense. Privacy: There is currently no way to unambiguously determine when linked, deidentified datasets cross the threshold to become personally identifiable. Courts in different parts of the world are making decisions about whether privacy is being infringed, while companies are seeking new ways to exploit private data to create new business revenues. As solution alternatives, we may consider blockchain, distributed ledger technologies and differential privacy approaches.

研究动机与目标

• 确定6G网络中信任、安全和隐私之间的相互关联角色。
• 提出跨技术、监管、经济学与伦理的基础性研究挑战。
• 强调在6G中嵌入式信任和信息安全的需求。
• 讨论面向未来网络的安全体系结构规划和隐私保护技术。

提出的方法

• 覆盖技术、监管、技术经济、政治和伦理的多学科挑战调查。
• 讨论6G的嵌入式信任和信任政策。
• 提出一个面向6G的整体安全体系结构方法。
• 将机器学习既作为防御工具又可能的威胁进行考量。
• 考虑隐私方法，如区块链、分布式账本和差分隐私。

实验结果

研究问题

• RQ1 与前几代相比，6G在信任、安全和隐私方面的核心挑战有哪些独特之处？
• RQ2 6G如何在开放互联网和电信云环境中整合嵌入式信任与信任政策？
• RQ3 针对云/边原生6G基础设施，需要怎样的整体安全体系结构与治理？
• RQ4 在数据驱动的服务中如何保护隐私，哪些技术（例如 blockchain、differential privacy）提供可行的解决方案？
• RQ5 哪些监管、经济与伦理因素影响可信赖的6G部署？

主要发现

• 信任需要嵌入式机制和策略，以在6G中实现更高的信息安全。
• 安全需要面向云/边原生基础设施的整体架构，并考虑自动化风险。
• 隐私挑战来自数据集的关联与去标识化，伴随不断发展的法律与商业影响。
• 可能的解决途径包括区块链、分布式账本技术和差分隐私。