Browsing by Subject "data protection"

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    Preserving Graph Utility in Anonymized Social Networks? A Study on the Persistent Homology
    (IEEE, 2017-10) Gao, Tianchong; Li, Feng; Engineering Technology, School of Engineering and Technology
    Following the trend of privacy preserving online social network publishing, various anonymization mechanisms have been designed and employed. Many differential privacy-based mechanisms claim that they can preserve the utility as well as guarantee the privacy. Their utility analysis are always based on some specifically chosen metrics.This paper aims to find a novel angle that describing the network in multiple scales. Persistent homology is such a high level metric that it reveals the parameterized topological features with various scales and it is applicable for read-world applications. In this paper, four differential privacy mechanisms employing different models are analyzed under the traditional graph metrics and the persistent homology. The evaluation results demonstrate that all algorithms can partially or conditionally preserve certain traditional graph utilities, but none of them are suitable for all metrics. Furthermore, none of the existing mechanisms can fully preserve the persistent homology, especially in high dimensions, which implies that the true graph utility is lost.
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    Privacy by Deletion: The Need for a Global Data Deletion Principle
    (2009) Keele, Benjamin J.
    With global personal information flows increasing, efforts have been made to develop principles to standardize data protection regulations. However, no set of principles has yet achieved universal adoption. This note proposes a principle mandating that personal data be securely destroyed when it is no longer necessary for the purpose for which it was collected. Including a data deletion principle in future data protection standards will increase respect for individual autonomy and decrease the risk of abuse of personal data. Though data deletion is already practiced by many data controllers, including it in legal data protection mandates will further the goal of establishing an effective global data protection regime.