@inproceedings{1c264c124efc4be0b51d138c617f4c82,
title = "PIDS: An essential personal information detection system for small business enterprise",
abstract = "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.",
keywords = "Data Leakage, Personal Information, Privacy Agent",
author = "Chiu, {Chih Chieh} and Tsai, {Pang Wei} and Yang, {Chu Sing}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021 ; Conference date: 07-10-2021 Through 08-10-2021",
year = "2021",
month = oct,
day = "7",
doi = "10.1109/ICECCME52200.2021.9590950",
language = "???core.languages.en_GB???",
series = "International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021",
}