Towards capturing learners sentiment and context
Jaye Clarkes-Nias, Oliver Bent, et al.
L@S 2015
Adversaries employ sophisticated fingerprinting techniques to identify Web users and record their browsing history and Web interactions. Fingerprinting leaves no footprint on the browser and is invisible to general Web users, who often lack basic knowledge of it. An analysis of fingerprinting techniques and tools revealed the fingerprinting workflow. This helped define fine-grained properties that precisely model the workflow, allowing development of a client-side fingerprinting-detection tool. This article is part of a special issue on Security and Privacy on the Web.
Jaye Clarkes-Nias, Oliver Bent, et al.
L@S 2015
John Wamburu, David Kaguma, et al.
MOBILESoft 2017
Josh Marston, Komminist Weldemariam, et al.
MOBILESoft 2014
Nelson Bore, Andrew Kinai, et al.
ICBC 2020