基于生成式人工智能的个人信息安全防护研究

Research on Personal Information Security Protection Based on Generative Artificial Intelligence

当前个人信息泄露事件频发,严重威胁隐私安全。文中立足于前沿的生成式人工智能技术,提出了一种创新的个人信息安全防护系统设计方案。该系统通过数据采集与分析、威胁检测、响应与防护等功能模块的协同工作,能高效、智能地识别潜在安全威胁,并自动采取防护措施。在合成数据集上的实证实验表明,该系统在异常检测准确率、实时性等关键指标上均优于传统规则引擎方法。

The current personal information leakage incidents occur frequently,seriously threatening privacy and security.Based on the cutting-edge generative artificial intelligence technology,this paper proposes an innovative personal information security protection system design scheme.The system can efficiently and intelligently identify potential security threats and automatically take protective measures through the collaborative work of functional modules such as data collection and analysis,threat detection,response and protection.Empirical experiments on synthetic datasets show that the system outperforms traditional rule engine methods in key indicators such as anomaly detection accuracy and realtime performance.