| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
|
|---|
| Outline of Final Research Achievements |
In recent years, numerous organizations have begun to provide services that collect large amounts of personal information. This personal information can be shared with other organizations so that they can subsequently create new services.
Owing to the development of ubiquitous computing and sensing technologies, numerous research methods for crowdsensing have been proposed to collect and analyze sensed environmental information from mobile phone users.
Our contributions are as follows: (1) we propose a simple but effective general anonymization algorithm for large databases, (2) we propose a novel privacy metric and a utility metric that can treat the location error and propose an efficient anonymization algorithm for the proposed metrics, and (3) we propose S2M and S2Mb, both of which can make a better trade-off between privacy and utility in crowdsensing.
|
