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Showing 1 to 6 of 6 for “"De-anonymization"”.

  1. Privacy risk and de-anonymization in heterogeneous information networks

    … patterns. We show how the extra information derived from heterogeneity can be used to relax these assumptions. To characterize and demonstrate this added threat, we formally define privacy risk in an anonymized heterogeneous information network to identify the vulnerability in the possible …

    uiuc Repository record for Privacy risk and de-anonymization in heterogeneous information networks (opens in a new tab)

  2. Learning to de-anonymize social networks

    … network data for analysis has been a popular idea among data providers. Despite evidence to the contrary the belief that anonymization will solve the privacy problem in practice refuses to die. This dissertation contributes to the field of social graph de-anonymization by demonstrating that …

    cambridge Repository record for Learning to de-anonymize social networks (opens in a new tab)

  3. Improving the output of algorithms for large-scale approximate graph matching

    … matching, the goal is to find the best correspondence between the labels of two correlated graphs. Recently, the problem has been applied to social network de-anonymization, and several efficient algorithms have been proposed for approximate graph matching in that domain. These algorithms employ …

    uiuc Repository record for Improving the output of algorithms for large-scale approximate graph matching (opens in a new tab)

  4. Anonymous Communication Networks: Usage Analysis and Attack Mechanisms

    … for anonymous communication. Several system designs have been developed with the common aim of preserving communication privacy within the shared network environment. In this study, the structure of these systems is explained and an analysis of current anonymity technologies; proxy servers, …

    unr Repository record for Anonymous Communication Networks: Usage Analysis and Attack Mechanisms (opens in a new tab)

  5. Privacy-preserving social network analysis

    … the graph structure of social networks can provide valuable information for revenue generation and social science research, but unfortunately, ensuring this analysis does not violate individual privacy is difficult. Simply removing obvious identifiers from graphs or even releasing only aggregate …

    purdue-thes Repository record for Privacy-preserving social network analysis (opens in a new tab)

  6. A cryptographic approach to location privacy

    … services (LBS) has driven an escalating demand for personalised and context-aware applications, enriching user experiences across health, weather, and navigation sectors. These services offer valuable insights into various applications using large-scale datasets of individual mobility …

    cork Repository record for A cryptographic approach to location privacy (opens in a new tab)