Towards Evaluating the Security of Human Computable Passwords Using Neural Networks-Reference-Cited by-同舟云学术

Towards Evaluating the Security of Human Computable Passwords Using Neural Networks

Published:2023 Issue: Volume: Page:303-312
ISSN:0302-9743
Container-title:Information Security Applications
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Author:

Murata Issei,He Pengju,Gu Yujie,Sakurai Kouichi

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-25659-2_22

Reference12 articles.

1. Guan, Y., Zhang, Y., Chen, L., Bian, K.: A neural attack model for cracking passwords in adversarial environments. In: IEEE/CIC International Conference on Communications in China (ICCC), pp. 183–188 (2019)

2. Blocki, J., Blum, M., Datta, A., Vempala, S.: Towards human computable passwords. In: Innovations in Theoretical Computer Science (ITCS), pp. 10:1–10:47 (2017)

3. Blum, M., Vempala, S.: The complexity of human computation via a concrete model with an application to passwords. In: Proceedings of the National Academy of Sciences of the USA (PNAS), vol. 117, pp. 9208–9215 (2020)

4. Rosenfeld, E., Vempala, S., Blum, M.: Human-usable password schemas: Beyond information-theoretic security. arXiv:1906.00029 (2019)

5. Samadi, S., Vempala, S., Kalai, A.: Usability of humanly computable passwords. In: 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP), pp. 174–183 (2018)

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