A privacy analysis of cross-device tracking

S Zimmeck, JS Li, H Kim, SM Bellovin… - 26th USENIX Security …, 2017 - usenix.org
Online tracking is evolving from browser-and device-tracking to people-tracking. As users
are increasingly accessing the Internet from multiple devices this new paradigm of tracking …

{TALON}: An Automated Framework for {Cross-Device} Tracking Detection

K Solomos, P Ilia, S Ioannidis, N Kourtellis - … International Symposium on …, 2019 - usenix.org
Although digital advertising fuels much of today's free Web, it typically does so at the cost of
online users' privacy, due to the continuous tracking and leakage of users' personal data. In …

Off-policy evaluation of probabilistic identity data in lookalike modeling

R Cotta, M Hu, D Jiang, P Liao - … Conference on Web Search and Data …, 2019 - dl.acm.org
We evaluate the impact of probabilistically-constructed digital identity data collected
between Sep. 2017 and Dec. 2017, approximately, in the context of Lookalike-targeted …

[PDF][PDF] Cross-device tracking: Systematic method to detect and measure CDT

K Solomos, P Ilia, S Ioannidis… - arxiv preprint arxiv …, 2018 - researchgate.net
Online advertising, the backbone of the free Web, has transformed the marketing business
by creating countless opportunities for advertisers to reach potential customers. e …

Cross-device tracking with machine learning

E Volkova - 2017 - duo.uio.no
Personalizing the user experience on the web is important for news or product
recommendations, online advertising and other domains. Users increasingly expect …

GraphTrack: A Graph-based Cross-Device Tracking Framework

B Wang, T Zhou, S Li, Y Cao, N Gong - Proceedings of the 2022 ACM on …, 2022 - dl.acm.org
Cross-device tracking has drawn growing attention from both commercial companies and
the general public because of its privacy implications and applications for user profiling …

[PDF][PDF] Machine learning applications in operations management and digital marketing

Q Wang - 2019 - pure.uva.nl
As the world becomes more and more digitized, we are now able to collect enormous
amounts of data about everything, from how customers shop for groceries to how Formula …

[PDF][PDF] Cross-device tracking of employees with social networks

YS Choo - Imperial College London, London, UK, 2017 - imperial.ac.uk
Companies around the world spent millions of dollars purchasing state-of-the-art network
intrusion detection system to protect their network infrastructure from cyberattacks. Yet, they …

MURITE-Detector: Identifying User-Role in Information Theft Events of Mobile Network

Z Cheng, X Chen, Y Zhang, S Li… - 2019 18th IEEE …, 2019 - ieeexplore.ieee.org
The emergence of information theft apps poses a serious threat to smartphone users. Most
of information theft apps rely on network interfaces to steal users' privacy and use short …

Cross Device Targeting for Digital Advertising

H Toğuҫ, RS Kuzu, HK Ekenel - 2019 27th Signal Processing …, 2019 - ieeexplore.ieee.org
Due to the convergence of digital marketing and advertising efforts with variety of digital
devices like tablets, smartphones, PCs, smart TVs, and even wearable devices, tracking the …