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?

Kĩ năng: Viết kĩ thuật, An ninh máy tính, Digital Forensics

Xem nhiều hơn: windows mobile social network application, data transfer mobile application using vbnet, mobile application send data php server, data transfer mobile application, java mobile application send data file server, os monitor network traffic application, mobile application social network, network traffic analysis data mining, data mining network traffic, data mining network traffic logs, data driven mobile application, mobile application encrypted sms, mobile application secure data transfer database, mobile application send gps data, mobile application data csv, online data entry mobile application, research mobile application math, monitor application network traffic, data storage in mobile application development

ID dự án: #29000990