Abstract
Organizations are under increasing pressures to manage all of the personal data concerning their customers and employees in a responsible manner. With the advancement of information and communication technologies, improved collaboration, and the pressures of marketing, it is very difficult to locate personal data is, let alone manage its use. In this paper, we outline the challenges of managing personally identifiable information in a collaborative environment, and describe a software prototype we call SNAP (Social Networking Applied to Privacy). SNAP uses automated workflow discovery and analysis, in combination with various text mining techniques, to support automated enterprise management of personally identifiable information.
National Research Council Paper Number 49356.
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Korba, L. et al. (2007). Private Data Management in Collaborative Environments. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2007. Lecture Notes in Computer Science, vol 4674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74780-2_10
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DOI: https://doi.org/10.1007/978-3-540-74780-2_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74779-6
Online ISBN: 978-3-540-74780-2
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