Machine learning-powered encrypted network traffic analysis: A comprehensive survey
Traffic analysis is the process of monitoring network activities, discovering specific patterns,
and gleaning valuable information from network traffic. It can be applied in various fields …
and gleaning valuable information from network traffic. It can be applied in various fields …
A survey on encrypted network traffic analysis applications, techniques, and countermeasures
E Papadogiannaki, S Ioannidis - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The adoption of network traffic encryption is continually growing. Popular applications use
encryption protocols to secure communications and protect the privacy of users. In addition …
encryption protocols to secure communications and protect the privacy of users. In addition …
Mobile encrypted traffic classification using deep learning: Experimental evaluation, lessons learned, and challenges
The massive adoption of hand-held devices has led to the explosion of mobile traffic
volumes traversing home and enterprise networks, as well as the Internet. Traffic …
volumes traversing home and enterprise networks, as well as the Internet. Traffic …
MIMETIC: Mobile encrypted traffic classification using multimodal deep learning
Abstract Mobile Traffic Classification (TC) has become nowadays the enabler for valuable
profiling information, other than being the workhorse for service differentiation or blocking …
profiling information, other than being the workhorse for service differentiation or blocking …
Flowprint: Semi-supervised mobile-app fingerprinting on encrypted network traffic
T Van Ede, R Bortolameotti, A Continella… - Network and distributed …, 2020 - par.nsf.gov
Mobile-application fingerprinting of network traffic is valuable for many security solutions as
it provides insights into the apps active on a network. Unfortunately, existing techniques …
it provides insights into the apps active on a network. Unfortunately, existing techniques …
Robust smartphone app identification via encrypted network traffic analysis
The apps installed on a smartphone can reveal much information about a user, such as their
medical conditions, sexual orientation, or religious beliefs. In addition, the presence or …
medical conditions, sexual orientation, or religious beliefs. In addition, the presence or …
Systematic classification of side-channel attacks: A case study for mobile devices
R Spreitzer, V Moonsamy, T Korak… - … surveys & tutorials, 2017 - ieeexplore.ieee.org
Side-channel attacks on mobile devices have gained increasing attention since their
introduction in 2007. While traditional side-channel attacks, such as power analysis attacks …
introduction in 2007. While traditional side-channel attacks, such as power analysis attacks …
Multi-classification approaches for classifying mobile app traffic
The growing usage of smartphones in everyday life is deeply (and rapidly) changing the
nature of traffic traversing home and enterprise networks, and the Internet. Different tools …
nature of traffic traversing home and enterprise networks, and the Internet. Different tools …
Toward effective mobile encrypted traffic classification through deep learning
Traffic Classification (TC), consisting in how to infer applications generating network traffic, is
currently the enabler for valuable profiling information, other than being the workhorse for …
currently the enabler for valuable profiling information, other than being the workhorse for …
Mobile encrypted traffic classification using deep learning
The massive adoption of hand-held devices has led to the explosion of mobile traffic
volumes traversing home and enterprise networks, as well as the Internet. Procedures for …
volumes traversing home and enterprise networks, as well as the Internet. Procedures for …