Contents Intro.

Big data is the term for a collection of large and complex datasets from different sources that is difficult to process using traditional data management and processing applications. In these datasets, some information must be kept secret from others. On the other hand, some information has to be released for acquainting information or big data analytical services. The research challenge is how to protect the private information in the context of big data. Privacy is described by the ability to have control over the collection, storage, access, communication, manipulation and disposition of data. Some refer to privacy as the right for individuals to determine for themselves when, how, and to what extent information about them is communicated to others. Many countries set out legislations for how organizations may collect, use, or disclose personal information in the course of commercial activities. Failing to comply with these legislations, in their respective countries, may lead to civil and/or criminal penalties and/or imprisonment. In addition to the penalties, organizations may even suffer the loss of reputation and goodwill when the non-compliance of legislation is publicized. This talk will give an overview of privacy concepts and related research issues in big data applications, especially in health domain.

Details

Publication year

2013

Form

電子化映像資料(1時間26分37秒)

Series title

情報科学研究科・ゼミナール講演 ; 平成25年度

Note

講演者所属: University of Ontario Institute of Technology

講演日: 平成25年12月19日

講演場所: 情報科学研究科大講義室L1

Country of publication

Japan

Title language

English (eng)

Language of texts

English (eng)

Author information

Hung, Patrick