Research on Leakage Prevention Technology of Sensitive Data based on Artificial Intelligence

Donglan Liu, Xin Liu, Lei Ma, Yingxian Chang, Rui Wang, Hao Zhang, Hao Yu, Wenting Wang
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Abstract

In recent years, network security incidents happen frequently, and each security incident is inseparable from the threat of data leakage. In order to deal with the sensitive data leakage under the new network threat, this paper proposes the sensitive data leakage prevention method based on artificial intelligence technology by studying the current data leakage prevention technology. By prefabricating a simple security policy, the detection result of the data and the data are submitted to the security manager. According to the judgment of the security inspector, the self-learning security policy is carried out with artificial intelligence algorithm to promote the update of the security policy. Data assets leakage protection system is designed to show full view data assets directory, verify the risk analysis technology in data assets for centralized cataloging and grade of risk distribution data visualization display, based on the classification properties of the data security label of the multi-function scenarios such as the technology application effect, effectively reduce the risk of data leakage.
基于人工智能的敏感数据防泄漏技术研究
近年来,网络安全事件频发,每一次安全事件都离不开数据泄露的威胁。为了应对新的网络威胁下的敏感数据泄漏,本文通过对现有数据泄漏防护技术的研究,提出了基于人工智能技术的敏感数据泄漏防护方法。通过预制简单的安全策略,将数据的检测结果和数据提交给安全管理器。根据安全检查员的判断,采用人工智能算法进行自学习安全策略,促进安全策略的更新。数据资产泄漏保护系统旨在显示数据资产目录全视图,验证风险分析技术在数据资产集中编目和分级风险分布数据可视化显示,基于数据安全标签的分类属性等多功能场景下的技术应用效果,有效降低数据泄漏风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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