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Nudging personalized password policies by understanding users’ personality

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成果类型:
期刊论文
作者:
Guo, Yimin*;Zhang, Zhenfeng;Guo, Yajun;Guo, Xiaowei
通讯作者:
Guo, Yimin
作者机构:
[Guo, Yimin; Zhang, Zhenfeng] Chinese Acad Sci, Inst Software, Trusted Comp & Informat Assurance Lab, Beijing, Peoples R China.
[Guo, Yimin; Zhang, Zhenfeng] Univ Chinese Acad Sci, Beijing, Peoples R China.
[Guo, Xiaowei; Guo, Yajun] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
通讯机构:
[Guo, Yimin] C
Chinese Acad Sci, Inst Software, Trusted Comp & Informat Assurance Lab, Beijing, Peoples R China.
语种:
英文
关键词:
Password policy;Personality;Usability;Security
期刊:
Computers & Security
ISSN:
0167-4048
年:
2020
卷:
94
页码:
101801
基金类别:
CRediT authorship contribution statement Yimin Guo: Conceptualization, Methodology, Formal analysis, Data curation, Writing - original draft. Zhenfeng Zhang: Supervision, Project administration, acquisition, Writing - review & editing. Yajun Guo: Validation, Investigation, Resources. Xiaowei Guo: Software.
机构署名:
本校为其他机构
院系归属:
计算机学院
摘要:
Password composition policies are used to prevent users from picking weak passwords. A website usually provides a unified password policy for each user but ignores the fact that people have a variety of preferences due to individual differences, which makes it difficult to achieve the expected strong password goals. In order to improve the effectiveness of password composition policies, we propose a dynamic personalized password policy (DPPP), which can personally recommend different password policies according to the user's personality traits....

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