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大学数据安全危机:确定影响数据泄露事件的关键因素
Jin Li1, Wei Xiao1, Chong Zhang2
1School of Management, Xi'an Jiaotong University, Xi'an, China.
大学数据泄露随着漏洞披露而增加,但随着跨境数据流动而减少. 云采用提高了安全性,公共云比私有云更安全.
科学领域:
- 网络安全 网络安全
- 信息安全 信息安全
- 高等教育 技术 高等教育技术
背景情况:
- 由于复杂的数字环境,大学面临着重大数据泄露风险.
- 现有的研究往往忽略了影响高等教育数据安全的具体因素.
研究的目的:
- 在经验上调查影响中国大学数据泄露风险的因素.
- 检查跨境数据流和漏洞披露的调解作用.
- 分析云采用对数据泄露风险的缓解效应.
主要方法:
- 利用来自中国教育行业脆弱性报告平台的数据进行波桑回归分析.
- 检查了大学样本,以确定数据泄露的关键驱动因素.
- 使用统计建模研究调解和调节效应.
主要成果:
- 对漏洞的公开披露增加与数据泄露的频率增加有关.
- 发现跨境数据流可以减少数据泄露事件的数量.
- 云采用,特别是公共云,与数据泄露的减少有关,并充当调节者.
结论:
- 漏洞披露和跨境数据流对大学数据安全有重大影响.
- 云计算策略,特别是公共云,提供了针对数据泄露的增强保护.
- 调查结果为提高学术机构信息安全提供了实际见解.
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