Neural variability fingerprint predicts individuals' information security violation intentions.

ABSTRACT: As the weakest links in information security defense are the individuals in an organizations, it is important to understand their information security behaviors. In the current study, we tested whether the neural variability pattern could predict an individual's intention to engage in information security violations. Because cognitive neuroscience methods can provide a new perspective into psychological processes without common methodological biases or social desirability, we combined an adapted version of the information security paradigm (ISP) with functional magnetic resonance imaging (fMRI) technology. While completing an adapted ISP task, participants underwent an fMRI scan. We adopted a machine learning method to build a neural variability predictive model. Consistent with previous s

SUBMITTER: Duan Q 

PROVIDER: S-EPMC11197491 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature