网络社区中的秘密共享:犯罪者和非犯罪者密码创建策略的比较分析

Andréanne Bergeron , Thomas E. Dearden
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引用次数: 0

摘要

尽管存在多种身份验证方法,但密码仍是最常见的身份验证类型。研究人员已经证明,一个人所处的环境和接触互联网的机会会对其在线安全行为产生影响(Bosnjak & Brumen, 2016; He et al.)这些研究表明,社会身份似乎在密码选择中发挥了作用。本研究的目的是确定网络的犯罪性质是否会影响密码创建策略。为此,我们使用了两个数据库,其中包含大量被泄露到互联网上的实际密码(1485,095 个)。其中一个数据库来自非犯罪社交网络,另一个来自黑客论坛。我们采用逻辑回归法来揭示每组用户的相关特征,从而确保对不同类型的密码策略以及同一网络行为者之间的相似性进行全面分析。结果表明,同一网络用户的密码具有相似的特征。具有相同社会兴趣的个体似乎更有可能使用相同的密码创建策略。从网络分析的角度来看,结果表明,相似的个体(具有相同的兴趣爱好)在其他方面(密码创建策略)也是相似的。这些发现为了解密码种类和用户行为的多样性提供了有价值的见解,有助于更全面地了解互联网用户网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secret sharing in online communities: A comparative analysis of offender and non-offender password creation strategies
Even though several authentication methods exist, passwords remain the most common type of authentication. Researchers have demonstrated the influence of a person’s environment and exposure to the Internet on their online security behavior (Bosnjak & Brumen, 2016; He et al., 2021; Juozapavičius et al., 2022). Those studies suggest that social identity seems to play a role in password choice. The objective of this study was to determine if the criminal nature of a network influences password-creation strategies. To achieve this, we utilized two databases with a substantial number of actual passwords (1485,095) that had been leaked to the Internet. One database was sourced from a non-delinquent social network, while the other was from a hacker forum. We employed logistic regression to reveal the characteristics associated with each group, ensuring a comprehensive analysis of different types of password strategies and the similarity between actors of the same network. Results show that users of the same network have passwords with characteristics that are similar to each other. Individuals with the same social interests seem more likely to use the same password-creation strategies. From a network analysis perspective, the results show that similar individuals (sharing the same interests) are similar in other aspects (password creation strategies). These findings offer valuable insights into the diverse landscape of password varieties and user behaviors, contributing to a more comprehensive understanding of internet user networks.
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