神经可变性指纹预测个人的信息安全违规意图
Qin Duan1, Zhengchuan Xu2, Qing Hu3
1Department of Psychology, Guangdong Provincial Key Laboratory of Social Cognitive Neuroscience and Mental Health, Guangdong Provincial Key Laboratory of Brain Function and Disease, Sun Yat-Sen University, Guangzhou 510006, China.
Fundamental research
|June 27, 2024
概括
神经可变性模式可以预测个人违反信息安全政策的意图. 这项研究将功能磁共振成像 (fMRI) 与机器学习模型相结合,以识别这些预测性神经标记.
科学领域:
- 认知神经科学 认知神经科学
- 信息安全 信息安全
- 神经成像是一种神经成像.
背景情况:
- 个人是组织信息安全中最弱的环节.
- 了解个人信息安全行为至关重要.
- 传统的研究安全行为方法可能存在偏见.
研究的目的:
- 调查神经可变性模式是否预测信息安全违规意图.
- 探索将功能磁共振成像 (fMRI) 与机器学习方法相结合的实用性.
- 通过神经科学方法,为信息安全行为提供一个新的视角.
主要方法:
- 使用了一个适应的信息安全范式 (ISP) 任务.
- 在执行任务时使用功能磁共振成像 (fMRI).
- 在神经可变性数据上使用机器学习开发了一个预测模型.
主要成果:
- 与违规环境相比,人们更有可能在中立条件下采取行动.
- 成功构建了一个神经可变性预测模型.
- 该模型结合了特定的大脑网络,准确地预测了违规意图.
结论:
- 神经可变性是信息安全违规意图的有价值预测指标.
- ISP和fMRI的整合为探索神经预测模型提供了一个新的途径.
- 这种方法提供了对安全行为背后的心理过程的洞察,没有常见的偏见.
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