物联网系统中的隐私保护技术（PPTs）：一项范围综述及未来方向
Privacy Preservation Techniques (PPTs) in IoT Systems: A Scoping Review and Future Directions
AI总结：
本文通过综述物联网系统中隐私保护技术的发展，探讨其隐私目标、技术整合及未来研究方向。
摘要：
物联网系统中的隐私保护需要使用基于创新技术如密码学和人工智能（AI）构建的隐私增强技术（PETs）来创建称为隐私保护技术（PPTs）的技巧。这些PPTs通过缓解物联网系统中的潜在隐私威胁来实现各种隐私目标并解决不同的隐私问题。本研究对2010年至2023年初发表的物联网系统相关研究中不同类型的PPTs进行了范围综述，以进一步探索这些系统中的隐私保护优势。这项范围综述审视了隐私目标、可能用于构建PET的技术、PPTs在物联网架构计算层的集成、不同物联网应用中PPTs的部署以及这些技术在物联网系统中解决的不同隐私类型。本调查讨论了关键发现，如物联网中的突出隐私目标和隐私类型，以及识别出的研究空白，这些空白可以指导隐私研究的未来工作，并造福隐私研究社区和其他物联网系统利益相关者。
英文摘要：
Privacy preservation in Internet of Things (IoT) systems requires the use of privacy-enhancing technologies (PETs) built from innovative technologies such as cryptography and artificial intelligence (AI) to create techniques called privacy preservation techniques (PPTs). These PPTs achieve various privacy goals and address different privacy concerns by mitigating potential privacy threats within IoT systems. This study carried out a scoping review of different types of PPTs used in previous research works on IoT systems between 2010 and early 2023 to further explore the advantages of privacy preservation in these systems. This scoping review looks at privacy goals, possible technologies used for building PET, the integration of PPTs into the computing layer of the IoT architecture, different IoT applications in which PPTs are deployed, and the different privacy types addressed by these techniques within IoT systems. Key findings, such as the prominent privacy goal and privacy type in IoT, are discussed in this survey, along with identified research gaps that could inform future endeavors in privacy research and benefit the privacy research community and other stakeholders in IoT systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
