Data Privacy Research on Mobile Application Network Traffic

The problem: Tracker identification is based on whitelists and lists of known trackers (see attached paper Introduction to being a Privacy Detective - Investigating and Comparing Potential Privacy Violations in Mobile Apps Using Forensic Methods)

The aim: Identify trackers from Mobile Application Network traffic w/o resorting to whitelists of known trackers (Finding features of different trackers from network flow) and create a model to identify trackers from network flow using Machine Learning Algorithms.

Necessary questions:

1. Do trackers lead to characteristic patterns of network traffic? Note: There could be more than one cluster of characteristic patterns (e.g. different categories of trackers).

2. Can these characteristic patterns be identified using pattern recognition methods?

3. Does this work even when the network traffic is encrypted?

Habilidades: Redação técnica, Segurança de computadores, Digital Forensics

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Acerca do Empregador:
( 0 comentários ) Himatnagar, India

ID do Projeto: #29000990

2 freelancers estão ofertando em média ₹23611 nesse trabalho


Hello Employer, I will conduct the research on Data privacy on mobile application. I have gone through the project brief and I will ensure that the areas highlighted are being extensively covered in the work. Please Mais

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Hello, I hope this message finds you well. I was very intrigued when I saw this project. I am an ethical hacker with 5 years of experience. My areas of expertise are Web and Mobile Application testing coupled with Netw Mais

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