Affiliation:
1. Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan
2. Department of Information Management, National Central University, Taoyuan, Taiwan
3. Miin Wu School of Computing, National Cheng Kung University, Tainan, Taiwan
Abstract
Many Internet of Things and information exchange technologies bring convenience, cost-efficiency, and sustainability to smart city solutions. These changes have improved our day-to-day quality of life, with impacts on: (a) lifestyle (e.g., automation and robotic reaction), (b) infrastructure (efficient energy consumption), and (c) data-driven management (data sensing, collection, and investigation). It is common to integrate Web-based interfaces and such solutions for developing platforms. When software and hardware components store, retrieve, and transfer such information, people may suffer from personal data leakage. This paper introduces a privacy information detection method, using a data weighting mechanism to save time and cost in finding personal information leaks over Web services. According to an initial evaluation, the proposed method can reduce time by 62.19% when processing 8,000 crawled files, and roll-back verification shows that it maintains 90.08% accuracy for finding marked content.
Funder
National Science and Technology Council of Taiwan
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems