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Title: My Mouse, My Rules: Privacy Issues of Behavioral User Profiling via Mouse Tracking
Authors: Leiva, Luis A. 
Arapakis, Ioannis 
Iordanou, Costas 
Major Field of Science: Natural Sciences
Field Category: Computer and Information Sciences
Keywords: Mouse Cursor Tracking;User Profiling;Privacy;Ethics
Issue Date: 14-Mar-2021
Source: Conference on Human Information Interaction and Retrieval, 2021, 14-19 March, Canberra ACT Australia
Conference: Conference on Human Information Interaction and Retrieval 
Abstract: This paper aims to stir debate about a disconcerting privacy issue on web browsing that could easily emerge because of unethical practices and uncontrolled use of technology. We demonstrate how straightforward is to capture behavioral data about the users at scale, by unobtrusively tracking their mouse cursor movements, and predict user's demographics information with reasonable accuracy using five lines of code. Based on our results, we propose an adversarial method to mitigate user profiling techniques that make use of mouse cursor tracking, such as the recurrent neural net we analyze in this paper. We also release our data and a web browser extension that implements our adversarial method, so that others can benefit from this work in practice.
ISBN: 978-1-4503-8055-3
DOI: 10.1145/3406522.3446011
Rights: © Copyright held by the owner/author(s).
Type: Conference Papers
Affiliation : University of Luxembourg 
Telefonica Research 
Cyprus University of Technology 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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