Anonymization of Personal Data in Ubiquitous Computing

2016 Fiscal Year Final Research Report

• Project/Area Number: 26870201
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Information network; Information security
• Research Institution: The University of Electro-Communications
• Principal Investigator: Sei Yuichi 電気通信大学, 大学院情報理工学研究科, 助教 (20700157)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: プライバシ / データマイニング / IoT

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.

Free Research Field

プライバシ保護