| Title | PIDS: An Essential Personal Information Detection System for Small Business Enterprise |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Chiu, Chih-Chieh, Tsai, Pang-Wei, Yang, Chu-Sing |
| Conference Name | 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) |
| Date Published | oct |
| Keywords | Business, Collaboration, Costs, data leakage, data mining, data protection, Human Behavior, Mechatronics, personal information, Privacy Agent, Privacy Policies, pubcrawl, Scalability, security |
| 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. |
| DOI | 10.1109/ICECCME52200.2021.9590950 |
| Citation Key | chiu_pids_2021 |
PIDS: An Essential Personal Information Detection System for Small Business Enterprise