An Ontology-Based Context Aware Privacy Protection Framework
Date Issued
2007
Date
2007
Author(s)
Yu, Chia-Ho
DOI
zh-TW
Abstract
The incessant news of data security breach has reduced the willingness of public to use the Internet network. Research has shown that successful e-Commerce relies heavily on effective protection of privacy. The launch of P3P and APPEL by W3C has assisted websites in announcing their privacy policies and allowed users to customize their privacy preference. Some scholars, on the other hand, have proposed various platforms to protect private information. However, the current systems takes into account neither users’ privacy preference under different contexts nor the complexity of privacy preference customization; and the algorithm framework may not fit the ubiquitous computing environment in the future. This study proposes an ontological platform that empowers users with higher precision control over their personal privacy customization and alleviates the difficulties faced in setting, so that it is suitable for a fast changing environment filled with vast quantity of contextual information.
This study adopts the semantic web standard language OWL, provided by W3C, to let users define privacy preference at varied accuracy levels under different contexts. Based on user-customized privacy preference and diverse contextual information, this study introduces a descriptive logic algorithm framework to automatically determine whether to disclose personal information or accept information transmitted by providers. In addition, this study utilizes Hybrid Adaptive Reasoning Algorithm to improve research efficiency on Ubiquitous Computing Environment where contextual information changes rapidly.
The Ontology Driven Platform offers users multi-dimensional expression capability with privacy preference and reduces the possibility of being overwhelmed by ubiquitous service requests. The technology enables the system to make correct decisions in accordance with users’ genuine preferences, alleviate concerns about privacy invasion, and thus increase service acceptance.
Subjects
隱私權
OWL
情境感知
隱私偏好
描述性邏輯
知識本體
Privacy
context-awareness
privacy preference
description logic
ontology
Type
other