Improving Deep Learning Based Password Guessing Models Using Pre-processing-Reference-Cited by-同舟云学术

Improving Deep Learning Based Password Guessing Models Using Pre-processing

Published:2022 Issue: Volume: Page:163-183
ISSN:0302-9743
Container-title:Information and Communications Security
language:
Short-container-title:

Author:

Wu Yuxuan,Wang Ding,Zou Yunkai,Huang Ziyi

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-15777-6_10

Reference21 articles.

1. Blocki, J., Harsha, B., Zhou, S.: On the economics of offline password cracking. In: Proceedings of IEEE S &P 2018, pp. 853–871 (2018)

2. Bonneau, J., Herley, C., Van Oorschot, P.C., Stajano, F.: The request to replace passwords: a framework for comparative evaluation of web authentication schemes. In: Proceedings of IEEE S &P 2012, pp. 553–567 (2012)

3. Bonneau, J., Herley, C., Van Oorschot, P.C., Stajano, F.: Passwords and the evolution of imperfect authentication. Commun. ACM 58(7), 78–87 (2015)

4. Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., Courville, A.C.: Improved training of Wasserstein GANs. In: Proceedings of the NIPS 2017, pp. 5769–5779 (2017)

5. Hitaj, B., Gasti, P., Ateniese, G., Perez-Cruz, F.: PassGAN: a deep learning approach for password guessing. In: Proceedings of the ACNS 2019 (2019)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GuessFuse: Hybrid Password Guessing With Multi-View;IEEE Transactions on Information Forensics and Security;2024

2. Using language-specific input methods and pronunciation rules to improve the guesses of passwords;Journal of Information Security and Applications;2023-09