Document Type
Conference Proceeding
Source of Publication
Procedia Computer Science
Publication Date
1-1-2020
Abstract
Contextual privacy is an essential concept in social software communication. Managing privacy of data disclosed in social software dependence strongly on the context the data is disclosed in. The sheer amount of posts and audiences may lead to context ambiguity. Ambiguity can affect contextual privacy management and effective communication. Current contextual privacy management approaches can be either too complex to use, or too simple to offer fine-grained control. In many cases, it is challenging to strike a balance between effective control and ease-of-use. In this article, we analyse contextual privacy by in relation to context and communication. We examine a relevant contextual privacy management framework based on the maintenance of the interpretation of data. We propose an architecture based on the utilisation of intelligent mechanisms. We conceptually analyse the usability aspect of the proposed architecture. We conclude by arguing how our conceptual framework can enhance communication and privacy in private and public spaces.
DOI Link
ISSN
Publisher
Elsevier B.V.
Volume
177
First Page
308
Last Page
317
Disciplines
Computer Sciences
Keywords
Network architecture, Architecture-based, Conceptual frameworks, Effective communication, Fine-grained control, Intelligent mechanisms, Interpretation of data, Privacy management, Proposed architectures, Privacy by design
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Outay, Fatma and Sayaf, Rula, "Contextual healing: Privacy through interpretation management" (2020). All Works. 1071.
https://zuscholars.zu.ac.ae/works/1071
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series