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From Emulation to Mathematical: A More General Traffic Obfuscation Approach To Encounter Feature based Mobile App traffic Classification. (arXiv:2302.03118v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
The usage of the mobile app is unassailable in this digital era. While tons
of data are generated daily, user privacy security concerns become an important
issue. Nowadays, tons of techniques, such as machine learning and deep learning
traffic classifiers, have been applied to analyze users app traffic. These
techniques allow the monitor to get the fingerprints of using apps while the
user traffic is still encrypted, which raises a severe privacy issue. In order
to fight against this type …
app apps classification daily data deep learning digital emulation fingerprints general generated important issue machine machine learning mobile mobile app monitor obfuscation privacy security techniques traffic traffic classification user privacy