A Novel Weak Deduction Password Strength Meter of Chinese Websites
Available Online February 2018.
- https://doi.org/10.2991/csece-18.2018.20How to use a DOI?
- password strength meter; probabilistic context free grammar; weak deduction; rank correlation
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yu Wu PY - 2018/02 DA - 2018/02 TI - A Novel Weak Deduction Password Strength Meter of Chinese Websites BT - 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 - https://doi.org/10.2991/csece-18.2018.20 ID - Wu2018/02 ER -