Privacy metrics suites for genomic privacy, vehicular communications privacy, and graph privacy

{"references": ["Y. Zhao and I. Wagner, \"On the Strength of Privacy Metrics for Vehicular Communication,\" IEEE Transactions on Mobile Computing, vol. 18, no. 2, pp. 390\u2013403, Feb. 2019", "I. Wagner, \"Evaluating the Strength of Genomic Privacy Metrics,\" ACM Trans. Priv. Secur., vol. 20, no. 1, pp. 2:1\u20132:34, Jan. 2017.", "I. Wagner and Y. Zhao, \"Using Metrics Suites to Improve the Measurement of Privacy in Graphs,\" 2019. [Online]. Available: http://arxiv.org/abs/1905.13264"]}

This dataset contains optimized suites of privacy metrics for three application domains: genomic privacy, vehicular communications privacy, and graph privacy. The dataset also contains the data we have used as input for the evolutionary optimization algorithms.

Related Organizations

De Montfort University
United Kingdom

Keywords

privacy metrics, privacy measurement

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