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.

翻译：物联网系统中的隐私保护需要利用密码学与人工智能等创新技术构建的隐私增强技术，从而形成称为隐私保护技术的方法体系。这些技术通过缓解物联网系统内的潜在隐私威胁，实现多样化的隐私目标并应对不同的隐私关切。本研究对2010年至2023年初期间物联网系统相关研究中采用的不同类型隐私保护技术进行了范围界定综述，以深入探究这些系统中隐私保护的优势。本综述系统考察了隐私目标、构建隐私增强技术的潜在技术方案、隐私保护技术在物联网架构计算层的集成方式、部署隐私保护技术的各类物联网应用场景，以及这些技术在物联网系统中解决的不同隐私类型。本调查重点探讨了物联网领域突出的隐私目标与隐私类型等关键发现，同时指出了现有研究空白，这些发现可为隐私保护研究的未来发展方向提供参考，并惠及隐私研究社群及物联网系统的其他利益相关方。