物联网实现了感知世界中实体的互联，其搜索技术可以提供人、机、物及其相互关系的信息。然而物联网搜索在为人们带来便利的同时，也暴露出严重的隐私泄露风险，面临恶意用户的非法攻击、合法用户的推演攻击和搜索过程中用户特征及偏好的泄露。物联网搜索中的隐私保护技术要求在实现高精确度搜索的同时保证数据的隐私安全，但是物联网数据的从属性、多源异构性、同一性以及攻击方式的多样性给研究提出了严峻挑战，也使得现有的隐私保护技术难以适用于物联网环境。为此本项目拟深入研究面向物联网搜索的隐私保护理论和关键技术，解决数据安全可用、搜索安全可控和搜索安全可评问题。具体研究内容包括隐私保护理论与模型、数据收集中的隐私保护、面向物联网复杂关联的数据隐私保护和物联网中支持位置隐私的搜索技术，并研发面向物联网搜索的隐私保护软件平台，验证理论研究成果。本项目旨在构建物联网搜索隐私保护理论和技术框架，促进和推动物联网搜索技术的发展。

The Internet of Things (IoTs) can achieve the connection of all entities in our sensing world. The search technology of it will provide the information and relation of people, machines and objects. However, serious privacy disclosure risks are exposed when we are enjoying the convenience brought by IoTs search technologies. We face the risks of illegal attacks form malicious users, deduction attacks from valid uses and leak of users’ characteristics and preferences when searching in IoTs. Privacy preservation technology in the search of IoTs requires privacy and safety of data as well as high precision of search. But the subordination, the heterogeneity and the consistency of data and diversity of attacks bring the researches severe challenges. Existing privacy preservation technologies are not suitable for the environment of IoTs. Therefore, the project is proposed to further study the privacy preservation theory and the key technology in IoTs search, and to solve the problems of security and availability of data, safety and control of search and evaluation of privacy preservation. Concrete researches include: theory and model of privacy preservation, privacy preservation in data collection, privacy preservation for complex correlation in IoTs and search technology supporting location privacy. Besides, we plan to develop a platform for privacy preservation and a set of applications for IoTs to verify the theoretical results we will achieve. In brief, we aim to build the privacy preservation theory and technical framework for IoTs search to promote the development of IoTs search.