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Better Understand Privacy Patterns in the Context of IoT


Mengdi Li

22/10/2020

Supervised by Charith Perera; Moderated by Michael Daley

The goal of the project is to complete three tasks: first, to subjectively organize and visualize various privacy protection principles, Privacy by Design (PbD) strategies, privacy guidelines, and privacy models; second, to collect and analyze the opinions of the public on the privacy model through web pages; and finally, to visualize the results collected through web surveys in real-time. The tasks are described below. (A) Collect and analyze the 168 main privacy protection principles, privacy design strategies, privacy guidelines, and privacy models; subjectively sort their relationships with each other; and use the Sankey diagram to visualize the results. (B) Create a web page, and randomly display several pairs of opinions that are similar in meaning and closely related to privacy protection principles, privacy design strategies, and privacy guidelines; let users make selections; and record and count the results in the database. (C) Display new visualization results based on the statistical results of the database in the second task, and try to ensure that the visualization can be changed with real-time results.


Final Report (22/10/2020) [Zip Archive]

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