Title
Group-based Password Characteristics Analysis
Abstract
In this article, we analyze password characteristics from the perspective of user groups in different countries and web-based services. We collect a dataset from the Chinese railway website www.12306.cn. which contains data from four provinces, Hubei, Zhejiang, Inner Mongolia and Xinjiang. Additionally, we select datasets from two English based Internet applications, Faithwrit-er and Facebook. We analyze these six datasets based on several common indicators, including popular passwords, password structure and letter distribution. The analysis results show that there are remarkable differences in different user groups. The experiments show that geographical factors (embodied in the native language) and types of website services play a significant role in password creation. We further evaluate the security of these passwords by employing two state-of-the-art password cracking techniques. The attack results show that datasets of different provinces and different types of website services have different password strength. To the best of our knowledge, this is the first time passwords are analyzed based on different user groups.
Year
DOI
Venue
2021
10.1109/MNET.011.2000354
IEEE Network
Keywords
DocType
Volume
state-of-the-art password cracking techniques,different provinces,website services,different password strength,time passwords,different user groups,group-based password characteristics,web-based services,Chinese railway website www,English based Internet applications,Faithwrit-er,popular passwords,password structure,letter distribution,remarkable differences,password creation
Journal
35
Issue
ISSN
Citations 
1
0890-8044
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Daojing He1101358.40
Beibei Zhou200.68
Hang Yu310227.03
Yao Cheng420.71
Sammy Chan590266.93
Min Zhang600.34
Nadra Guizani727432.70