Privacy Analysis of Mobile Analytics

Many companies require the gathering of user behavioural data from mobile devices and device applications in order to: i) improve their products, ii) monitor their systems, iii) engage in targeted marketing, etc. Significant privacy concerns exist with the measurement and storage of such data. In general, existing research highlights that data anonymization can be insufficient to fully address these risks, i.e. that anonymized data can be clustered and correlated with external sources to reveal private information. The emerging legal and statutory frameworks around privacy entail that there is beginning to be a strong need to be able to quantify privacy issues in terms of their resultant business risks, as well as a need to be able to properly restructure business solutions to mitigate these risks.

Faculty Supervisor:

Thomas Darcie

Student:

Partner:

Alacrity Foundation;Wesley Clover (Victoria, BC)

Discipline:

Computer science

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Victoria

Program: