Differences

This shows you the differences between two versions of the page.

--- projects [2021/04/27 03:39] – aan
+++ projects [2021/04/27 03:49] (current) – aan
@@ Line 5: / Line 5: @@
 Below is a list of 4080/4480 projects proposed by faculty members for Summer 2021. More project descriptions may be added once they come in. Please contact the supervisor directly you are in interested in a project. You can also contact faculty members individually to discuss possible projects. Click [[http://eecs.lassonde.yorku.ca/community/faculty-members/|here]] to see a list of faculty members, their research areas and their contact information.
+====== Comparative Analysis of Privacy Policies and Mobile Apps traffic ======
+**Supervisor:** [[https://www.yorku.ca/lassonde/privacy/|Yan Shvartzshnaider]]
+**Contact:** <yansh@yorku.ca>
+This project involves analysis of privacy policies and data sharing practices in mobile applications. The student will design a tool for comparing privacy policies with traffic generated by the mobile applications to identify gaps resulting from vague, misleading, or incomplete privacy statements.
+**Required skills:** Good programming skills. Experience using Python and/or R languages for data analysis.
+**Recommended skills:** Experience with Machine Learning, Natural Language Processing techniques, HCI design. Interest in usable privacy, critical analysis of privacy policies and privacy related regulation.
+/*
 ====== Serverless Computing Simulator ======
 **Supervisor:** Hamzeh Khazaei
@@ Line 73: / Line 86: @@
 Experience with containers and serverless functions, solid programming skills.
-====== Comparative Analysis of Privacy Policies and Mobile Apps traffic ======
+*/
-**Supervisor:** [[https://www.yorku.ca/lassonde/privacy/|Yan Shvartzshnaider]]
-This project involves analysis of privacy policies and data sharing practices in mobile applications. The student will design a tool for comparing privacy policies with traffic generated by the mobile applications to identify gaps resulting from vague, misleading, or incomplete privacy statements.
-**Required skills:** Good programming skills. Experience using Python and/or R languages for data analysis.
-**Recommended skills:** Experience with Machine Learning, Natural Language Processing techniques, HCI design. Interest in usable privacy, critical analysis of privacy policies and privacy related regulation.
 /*