个人,环境和行为预测因素与成年人在线欺诈受害相关
Vimala Balakrishnan1, Umayma Ahhmed1, Faris Basheer1
1Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia.
PloS one
|January 29, 2025
概括
过度自信和社会影响力显著预测在线欺诈的受害者,女性面临更高的风险. 了解这些因素对于制定有针对性的预防策略和改善所有用户的数字安全至关重要.
科学领域:
- 网络安全 网络安全
- 行为科学 行为科学
- 数字法医学数字法医学
背景情况:
- 由于可访问的技术,在线欺诈和诈骗在全球范围内正在增加.
- 这项研究调查了预测在线欺诈受害者的个人,环境和行为 (PEB) 因素.
研究的目的:
- 使用社会认知理论 (SCT) 框架识别在线欺诈受害的关键预测因素.
- 开发和验证PEB模型,以了解和预防在线欺诈.
主要方法:
- 一个PEB框架指导了针对马来西亚成年人的问卷开发.
- 采集和分析了两个数据集 (n=820和n=629),使用探索性因子分析 (EFA) 和层次二进制后勤回归.
主要成果:
- 过度自信和社会影响力成为在线欺诈受害的重要预测因素.
- 女性性别也是一个重要的预测因素,表明女性的受害者风险更高.
- 虽然大多数受访者都意识到数字隐私,但特定的行为因素增加了脆弱性.
结论:
- 调查结果表明,有针对性的宣传活动强调批判性思维和怀疑,以打击在线欺诈中的过度自信和社会影响.
- 决策者应该专注于数字素养,消费者保护以及减轻在线欺骗的法规.
- 针对性别的教育倡议和解决系统性问题对于有效的在线欺诈预防至关重要.
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