关于 B5G/6G 网络中个人和非个人数据隐私的调查

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS ACM Computing Surveys Pub Date : 2024-05-01 DOI:10.1145/3662179
Chamara Sandeepa, Bartlomiej Siniarski, Nicolas Kourtellis, Shen Wang, Madhusanka Liyanage
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引用次数: 0

摘要

即将到来的 Beyond 5G (B5G) 和 6G 网络有望提供更强的功能,如超高数据传输速率、密集连接和高可扩展性。它为人工智能(AI)和数十亿互联智能设备驱动的新一代服务带来了许多可能性。然而,随着这一预期的大规模升级,人们、组织和国家的隐私问题正日益受到关注。最近出台的个人和非个人数据隐私法律法规表明,全球对当前隐私状况的认识正在形成。然而,在两种数据类型的情况下,还需要找出许多差距。如果没有被发现,它们可能会导致严重的隐私泄露和攻击,影响数十亿使用 B5G/6G 的人和组织。本调查是对 B5G/6G 中个人和非个人数据隐私的全面研究,旨在确定确保数据隐私的当前进展和未来方向。我们对两种数据类型进行了详细比较,并为 B5G/6G 提出了一系列相关的隐私目标。接下来,我们提出了数据隐私问题和可能的解决方案。本文还提供了在未来网络中保护个人和非个人数据隐私的未来方向。
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A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks

The upcoming Beyond 5G (B5G) and 6G networks are expected to provide enhanced capabilities such as ultra-high data rates, dense connectivity, and high scalability. It opens many possibilities for a new generation of services driven by Artificial Intelligence (AI) and billions of interconnected smart devices. However, with this expected massive upgrade, the privacy of people, organisations, and states is becoming a rising concern. The recent introduction of privacy laws and regulations for personal and non-personal data signals that global awareness is emerging in the current privacy landscape. Yet, many gaps need to be identified in the case of two data types. If not detected, they can lead to significant privacy leakages and attacks that will affect billions of people and organisations who utilise B5G/6G. This survey is a comprehensive study of personal and non-personal data privacy in B5G/6G to identify the current progress and future directions to ensure data privacy. We provide a detailed comparison of the two data types and a set of related privacy goals for B5G/6G. Next, we bring data privacy issues with possible solutions. This paper also provides future directions to preserve personal and non-personal data privacy in future networks.

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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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