Many projects and papers are developed with the intention of releasing significant insights to a dataset. A problem arises due to the fact that many datasets contains sensitive information. This leaves many researchers and publishers with the issue of how to publish insights into a dataset without leaking unnecessary knowledge about the underlying data.
Sadly, many researchers forgo the steps to insure proper data handling due to its complexity as a topic and implementation challenge.
Excel is well known speedsheet tool developed by microsoft commonly used for data analysts to study and analyze data. Our goal it to lower the level of entry by creating a excel plugin/script/add-on that can automatically show the different security risks.
The goal of this project is to connect or create a basic implementation of privugger, a privacy risk analysis library, (https://github.com/itu-square/privugger) with Excel spreadsheets and automatically report potential privacy risks.
Sadly, many researchers forgo the steps to insure proper data handling due to its complexity as a topic and implementation challenge.
Excel is well known speedsheet tool developed by microsoft commonly used for data analysts to study and analyze data. Our goal it to lower the level of entry by creating a excel plugin/script/add-on that can automatically show the different security risks.
The goal of this project is to connect or create a basic implementation of privugger, a privacy risk analysis library, (https://github.com/itu-square/privugger) with Excel spreadsheets and automatically report potential privacy risks.
- Teacher: Raúl Pardo Jimenez
- Teacher: Willard Rafnsson