Dynamic user reconfigurable privacy and trust settigs for collaborative industrial environments
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There is no doubting that Collaborative Industrial Environments have become increasingly more popular as enterprise solutions for knowledge sharing. They facilitate information and data processing capabilities beyond the natural borders set within an organization. However, with this increased information openness and communications comes serious threats to both individual and organizational privacy. Privacy is a serious consideration and often legal obligation for most organizations. Current approaches to protecting privacy in collaborative environments have proven inadequate. We propose a novel framework to address the issues of privacy and trust in collaborative industrial environments. Our framework provides users with control over their personal information through reconfigurable access and privacy control settings. We use a collaborative environment suggestion box application to analyse how the framework is implemented.
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Skinner, Geoffrey; Han, Song; Chang, Elizabeth (2006)Purpose: Information Privacy is becoming an increasingly important field of research with many new definitions and terminologies. Along similar rates of increase are the use, uptake and expansion of Collaborative Environments. ...
Skinner, Geoff; Han, Song; Chang, Elizabeth (2006)There are numerous information privacy approaches based on the four major models of privacy protection. That is, Comprehensive Privacy Laws, Sectoral Privacy Laws, Privacy Self-Regulation, and Technologies of Privacy. ...
Skinner, Geoffrey; Chang, Elizabeth (2006)There are numerous information privacy approaches based on the four major models of privacy protection. That is, Comprehensive Privacy Laws, Sectoral Privacy Laws, Privacy Self-Regulation, and Technologies of Privacy. ...