Privacy-Aware Negative Surveys with a Hidden Category in Mobile Sensing

Shoko Minagawa; Jin Nakazawa; Hideyuki Tokuda

11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

Research Article

Privacy-Aware Negative Surveys with a Hidden Category in Mobile Sensing

Download612 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.mobiquitous.2014.257915,
    author={Shoko Minagawa and Jin Nakazawa and Hideyuki Tokuda},
    title={Privacy-Aware Negative Surveys with a Hidden Category in Mobile Sensing},
    proceedings={11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services},
    publisher={ICST},
    proceedings_a={MOBIQUITOUS},
    year={2014},
    month={11},
    keywords={mobile sensing privacy preservation statistical data negative surveys},
    doi={10.4108/icst.mobiquitous.2014.257915}
}

Shoko Minagawa
Jin Nakazawa
Hideyuki Tokuda
Year: 2014
Privacy-Aware Negative Surveys with a Hidden Category in Mobile Sensing
MOBIQUITOUS
ICST
DOI: 10.4108/icst.mobiquitous.2014.257915

Shoko Minagawa¹^,*, Jin Nakazawa¹, Hideyuki Tokuda¹

1: Keio University, Japan

*Contact email: choco@sfc.keio.ac.jp

Abstract

The global spread of mobile phones creates a new vision in the world. It is called mobile sensing, in which human beings are regarded as sensors to produce aggregated models and knowledge. In this setting, it is likely that user privacy is violated. Therefore, we investigate privacy-preserving methods and propose a privacy-aware method to construct statistical data in mobile sensing.

Keywords: mobile sensing privacy preservation statistical data negative surveys

Published: 2014-11-17
Publisher: ICST

: http://dx.doi.org/10.4108/icst.mobiquitous.2014.257915

Privacy-Aware Negative Surveys with a Hidden Category in Mobile Sensing

Abstract

About EAI

Community

Publish with EAI