School of Computing, University of Kent, Canterbury, United Kingdom.
School of Psychology, University of Birmingham, Birmingham, United Kingdom.
Eur J Neurosci. 2021 Feb;53(3):895-901. doi: 10.1111/ejn.15098. Epub 2021 Jan 10.
A key issue facing cybercrime investigations is connecting online identities to real-world identities. This paper shows that by combining the Fringe-P3 method with a concealed information test, we can detect a participant's familiarity with their own email address, thus connecting their real-world identity to their online one. Participants were shown Rapid Serial Visual Presentation (RSVP) streams of email addresses, some including their own email address (probe) or a target email address. Familiarity with the probe was accurately detected with significant results at the group level and for 7 of 11 participants at the individual level. These promising results demonstrate that the method can be successfully used to detect online identities. Factors that may affect how well an email address probe stands out in the RSVP streams are also discussed.
网络犯罪调查面临的一个关键问题是将在线身份与真实身份联系起来。本文表明，通过将边缘 P3 方法与隐藏信息测试相结合，我们可以检测到参与者对自己电子邮件地址的熟悉程度，从而将其真实身份与在线身份联系起来。参与者观看了电子邮件地址的快速序列视觉呈现 (RSVP) 流，其中一些包括他们自己的电子邮件地址（探针）或目标电子邮件地址。对探针的熟悉程度进行了准确检测，在组水平上和 11 名参与者中的 7 名参与者的个体水平上均取得了显著结果。这些有希望的结果表明，该方法可成功用于检测在线身份。还讨论了可能影响电子邮件地址探针在 RSVP 流中突出程度的因素。
