A Novel Weak Deduction Password Strength Meter of Chinese Websites

DOI

10.2991/csece-18.2018.20How to use a DOI?

Keywords

password strength meter; probabilistic context free grammar; weak deduction; rank correlation

Abstract

With the increasing situation of passwords datasets disclosure, the security of user's account faces rising risks under various kinds of password attack. To protect the security of user authentication system, password strength meter (PSM), which is used to measure user's password strength is widely accepted by Internet service institution. However, traditional PSMs in use today are rarely consider about user's cross-site vulnerable behaviors. In this paper, we first conduct a large scale of password reuse behaviors from 200 million Chinese websites' passwords. Then we propose our new weak-deduction PSM (WDPSM) that inherits the advantage of traditional probabilistic context free methods. Also, our WDPSM is good at model users' cross-site behaviors. Specifically, we perform a series of experiments to show that our weak-deduction PSM outperforms traditional PSMs in gauging weak passwords.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yu Wu
PY  - 2018/02
DA  - 2018/02
TI  - A Novel Weak Deduction Password Strength Meter of Chinese Websites
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 96
EP  - 99
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.20
DO  - 10.2991/csece-18.2018.20
ID  - Wu2018/02
ER  -