Privacy-Preserving Queries for a DAS Model Using Encrypted Bloom Filter
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Query log perturbation method for privacy preserving query
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
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Recently, a number of online services has developed due to the spread of the Internet and smartphones. Especially, the SNS that the place of communication among people is popular and high rate utilization. However, as the services have developed, problems such as flame war or web stalker due to SNS has increased. When the problems have occurred, the private information had been identified from the posted information such as address, employment place, and commute place. In some related works are propose method to prevent leak of personal information for providers and server administrators. But, these methods require high calculation cost. Therefore, we propose a system to lower the calculation cost by using a Bloom filter. In addition, it inhibit the use of a lot of content such as unregistered search service or community.