@inproceedings{911eab82eb434dd3b4c414bac344b30c,
title = "Deceive Mouse-Dynamics-Based Authentication Model via Movement Simulation",
abstract = "Biometric security is one of the fundamental problems in user authentication. The authentication model based on mouse dy-namics and biometrics has been widely researched in recent years. However, the model security against potential attacks is largely ignored. In this paper, we propose a mouse movement simulation method to inspect the vulnerability of this authenti-cation technique. The authenticity of the mouse movement data generated by the simulation method is validated by five benchmark classifiers. Experimental results show the simula-tion method possesses a high authentication pass rate for most users. It indicates the proposed method can simulate real user mouse actions and the persuasive assumption that mouse be-havior is difficult to imitate might be too optimistic.",
keywords = "biometric security, convolutional neural network, mouse operation simulation, synthetic data, user authentication",
author = "Shujie Hu and Jun Bai and Hongri Liu and Chao Wang and Bailing Wang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 10th International Symposium on Computational Intelligence and Design, ISCID 2017 ; Conference date: 09-12-2017 Through 10-12-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ISCID.2017.134",
language = "英语",
series = "Proceedings - 2017 10th International Symposium on Computational Intelligence and Design, ISCID 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "482--485",
booktitle = "Proceedings - 2017 10th International Symposium on Computational Intelligence and Design, ISCID 2017",
address = "美国",
}