摘要：【中文】本发明提供了一种基于混合差分隐私的流数据频数统计方法、装置、系统及存储介质，该流数据频数统计方法包括：创建候选列表步骤：针对用户集合S，在保证差分隐私的前提下，近似地获得出现频数最多的记录；收集数据步骤：用户在本地实现差分隐私算法，将隐私化数据传送到服务器端；隐私预算分配步骤：将连续序列分为个时间戳，在其分配隐私预算，根据时间，分配的隐私预算递减。本发明的有益效果是：本发明采用差分隐私和本地差分隐私结合的方式，能够从数据收集和数据分析层面实现对数据的高效保护，且能提高流数据实时发布速率。 【EN】The invention provides a streaming data frequency counting method, a device, a system and a storage medium based on mixed differential privacy, wherein the streaming data frequency counting method comprises the following steps: creating a candidate list step: aiming at a user set S, on the premise of ensuring differential privacy, records with the most occurrence frequency are approximately obtained; and (3) data collection: the user locally realizes a differential privacy algorithm and transmits the privacy data to the server; a privacy budget allocation step: dividing the continuous sequence intoA timestamp at which the privacy budget is allocated, the allocated privacy budget decreasing according to time. The invention has the beneficial effects that: the invention adopts a mode of combining the differential privacy and the local differential privacy, can realize the high-efficiency protection of data from the data collection and data analysis level, and can improve the real-time release rate of the streaming data.