Enabling Efficient Personally Identifiable Information Detection with Automatic Consent Discovery

Q3 Engineering
S. Fugkeaw, Pattavee Sanchol
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引用次数: 0

Abstract

Personal data leakage prevention has now become a critical issue for implementing data management and sharing in many industries. Several data privacy regulations such as General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPPA), California Consumer Privacy Act (CCPA), and Thailand's Personal Data Protection Act (PDPA) have been issued to enforce organizations to collect, process, and transfer personally identifiable information (PII) securely. In this paper, we propose a design and development of PII RapidDiscover, an efficient Thai and English PII discovery system featured with automatic consent discovery. At the core of our proposed system, we introduce the PII scanning algorithm based on the Presidio library and a natural language processing (NLP) technique to improve the scan result of PII written in Thai and English. Finally, we conducted the experiments to demonstrate the efficiency of our proposed system.
通过自动同意发现实现有效的个人身份信息检测
防止个人数据泄露已成为许多行业实施数据管理和共享的关键问题。一些数据隐私法规,如《通用数据保护条例》(GDPR)、《健康保险流通与责任法案》(HIPPA)、《加州消费者隐私法案》(CCPA)和《泰国个人数据保护法》(PDPA)已经发布,以强制组织安全地收集、处理和传输个人身份信息(PII)。在本文中,我们提出了PII RapidDiscover的设计和开发,这是一个高效的泰语和英语PII发现系统,具有自动同意发现的特点。在我们提出的系统的核心,我们引入了基于Presidio库和自然语言处理(NLP)技术的PII扫描算法,以改善泰语和英语书写的PII扫描结果。最后,通过实验验证了系统的有效性。
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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来源期刊
Transactions on Electrical Engineering, Electronics, and Communications
Transactions on Electrical Engineering, Electronics, and Communications Engineering-Electrical and Electronic Engineering
CiteScore
1.60
自引率
0.00%
发文量
45
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