Fedpacket: A federated learning approach to mobile packet classification

E Bakopoulou, B Tillman… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In order to improve mobile data transparency, various approaches have been proposed to
inspect network traffic generated by mobile devices and detect exposure of personally …

Nomoads: Effective and efficient cross-app mobile ad-blocking

A Shuba, A Markopoulou, Z Shafiq - Proceedings on Privacy …, 2018 - petsymposium.org
Although advertising is a popular strategy for mobile app monetization, it is often desirable to
block ads in order to improve usability, performance, privacy, and security. In this paper, we …

City-wide signal strength maps: Prediction with random forests

E Alimpertis, A Markopoulou, C Butts… - The World Wide Web …, 2019 - dl.acm.org
Signal strength maps are of great importance to cellular providers for network planning and
operation, however they are expensive to obtain and possibly limited or inaccurate in some …

Nomoats: Towards automatic detection of mobile tracking

A Shuba, A Markopoulou - Proceedings on Privacy Enhancing …, 2020 - petsymposium.org
Today's mobile apps employ third-party advertising and tracking (A&T) libraries, which may
pose a threat to privacy. State-of-the-art detects and blocks outgoing A&T HTTP/S requests …

Antshield: On-device detection of personal information exposure

A Shuba, E Bakopoulou, MA Mehrabadi, H Le… - arXiv preprint arXiv …, 2018 - arxiv.org
Mobile devices have access to personal, potentially sensitive data, and there is a growing
number of applications that transmit this personally identifiable information (PII) over the …

MSYM: A multichannel communication system for android devices

W Wang, D Tian, W Meng, X Jia, R Zhao, R Ma - Computer Networks, 2020 - Elsevier
Conventional mobile communication systems often use one single channel for data
transmission, ie, mobile devices use cellular network to transfer multimedia information …

Privacy leak classification on mobile devices

A Shuba, E Bakopoulou… - 2018 IEEE 19th …, 2018 - ieeexplore.ieee.org
Mobile devices have access to personal, potentially sensitive data, and there is a growing
number of mobile apps that have access to it and often transmit this personally identifiable …

[PDF][PDF] A system for crowdsourcing passive mobile network measurements

E Alimpertis, A Markopoulou… - Proc. 14th USENIX …, 2017 - athinagroup.eng.uci.edu
In this poster, we build on top of the AntMonitor system and we extend it to add a new
module for passive monitoring network performance on mobile devices (w/o middle server) …

Exposures exposed: a measurement and user study to assess mobile data privacy in context

E Bakopoulou, A Shuba, A Markopoulou - arXiv preprint arXiv:2008.08973, 2020 - arxiv.org
Mobile devices have access to personal, potentially sensitive data, and there is a large
number of mobile applications and third-party libraries that transmit this information over the …

Ap2i: Adaptive pii scanning and consent discovery system

S Fugkeaw, A Chaturasrivilai… - … on Knowledge and …, 2021 - ieeexplore.ieee.org
Currently, there are several off-the-shelf Personal Identifiable Information (PII) scanning
tools available as an assistive tool to find the PII in the network and system endpoints such …