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- W2948403921 abstract "In this paper, we present the first fingerprinting-based authentication scheme that is not vulnerable to trivial replay attacks. Our proposed canvas-based fingerprinting technique utilizes one key characteristic: it is parameterized by a challenge, generated on the server side. We perform an in-depth analysis of all parameters that can be used to generate canvas challenges, and we show that it is possible to generate unique, unpredictable, and highly diverse canvas-generated images each time a user logs onto a service. With the analysis of images collected from more than 1.1 million devices in a real-world large-scale experiment, we evaluate our proposed scheme against a large set of attack scenarios and conclude that canvas fingerprinting is a suitable mechanism for stronger authentication on the web." @default.
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- W2948403921 date "2019-01-01" @default.
- W2948403921 modified "2023-09-23" @default.
- W2948403921 title "Morellian Analysis for Browsers: Making Web Authentication Stronger with Canvas Fingerprinting" @default.
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- W2948403921 doi "https://doi.org/10.1007/978-3-030-22038-9_3" @default.
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