Original paper
Android-GAN: Defending against android pattern attacks using multi-modal generative network as anomaly detector
Abstract
Android pattern lock system is a popular form of user authentication extensively used in mobile phones today. However, it is vulnerable to potential security attacks such as shoulder surfing, camera attack and smudge attack. This study proposes a new kind of authentication system based on a generative deep neural network that can defend any attacks by imposters except a registered user. This network adopts the anomaly detection paradigm where...
Paper Details
Title
Android-GAN: Defending against android pattern attacks using multi-modal generative network as anomaly detector
Published Date
Mar 1, 2020
Volume
141
Pages
112964 - 112964
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