PIDS: An essential personal information detection system for small business enterprise

Chih Chieh Chiu, Pang Wei Tsai, Chu Sing Yang

研究成果: Conference contribution

摘要

Since the personal data protection law is on the way of many countries, how to use data mining method to secure sensitive information has become a challenge for enterprises. To make sure every employee follows company's data protection strategy, it may take lots of time and cost to seek and scan thousands of folders and files in user equipment, ensuring that the file contents meet IT security policies. Hence, this paper proposed a lightweight, pattern-based detection system, PIDS, which is expecting to enable an affordable data leakage prevention with essential cost and high efficiency in small business enterprise. For verification and evaluation, PIDS has been deployed on more than 100, 000 PCs of collaboration enterprises, and the feedback shows that the system is able to approach its original design functionality for finding violated or sensitive contents efficiently.

原文English
主出版物標題International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665412629
DOIs
出版狀態Published - 2021 10月 7
事件2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021 - Mauritius, Mauritius
持續時間: 2021 10月 72021 10月 8

出版系列

名字International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021

Conference

Conference2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021
國家/地區Mauritius
城市Mauritius
期間21-10-0721-10-08

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦網路與通信
  • 硬體和架構
  • 資訊系統與管理
  • 能源工程與電力技術
  • 電氣與電子工程
  • 機械工業
  • 安全、風險、可靠性和品質

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