| KEYWORD |
Automatic System for anti tracking performance evaluation
Thesis in external company
keywords NETWORK MEASUREMENTS, PAGE LOAD TIME, WEB TECHNOLOGIES
Reference persons MARCO MELLIA
External reference persons Stefano Traverso
Research Groups Telecommunication Networks Group
Thesis type EXPEIRMENTAL, IN COMPANY
Description Websites embed hundreds of web trackers which build their business on the collection of users' personal data. Anti-tracking (ad blocker, e.g., Ad Block Plus) technology help users protect their privacy. However, they also have implications on performance (e.g., slowing down you web-browsing experience), or break page rendering.
In this thesis, we are looking for talented programmers that would like to contribute to the creation of the Ermes Cyber Security solutions, by designing, implementing, and testing automatic tools for performance evaluation of anti-tracking systems.
See also https://www.dropbox.com/s/m4wat4muesq2ati/paper.pdf?dl=1
Required skills Excellent programming abilities and Web technologies
Knowledge of Python programming
knowledge of data science approaches.
Notes The thesis will be held in the Ermes Cybersecurity company, c/o I3P
Deadline 21/08/2018
PROPONI LA TUA CANDIDATURA