| dc.description.abstract | Nowadays, due to the increasing popularity of cloud services, not only cloud service providers, but also industry players in other industries have begun to collect user information and upload it to the cloud for storage and analysis, in order to provide better user experience services, but collect a large amount of data. At the same time, how to protect the privacy of users is a very important issue.
Some studies have proposed to protect user information in an anonymous manner. Based on the Bloom filter, user information in the cloud environment is guaranteed, and the query service can be provided while being anonymous. However, this mechanism has a limitation on the number of data storage, and as the data load increases, the time cost of inserting and searching for data will also increase, resulting in a decrease in performance.
Therefore, this study proposes a Decay Value as the usage weight value of each data, and a set of Decay Function to let the attenuation value decay with the custom conditions, when the attenuation value is reduced to At the minimum value, the data is removed from the data sheet to release the location, extending the life of the data sheet and improving its performance. And this research experiment proves that using the Decay Function method, the element insertion time is increased by 1.4 times, and the element query time is increased by 2 times. | en_US |