Clauß, S.: A framework for quantification of linkability within a privacy-enhancing identity management system. In: Müller, G. (ed.) ETRICS 2006. LNCS, vol. 3995, pp. 191-205. Springer, Heidelberg (2006)
Denœud, L., Guénoche, A.: Comparison of distance indices between partitions. In: Batagelj, V., Bock, H.-H., Ferligoj, A., Ziberna, A. (eds.) Data Science and Classification, Mathematics and Statistics, pp. 21-28. Springer, Berlin (2006)
Fischer, L., Katzenbeisser, S., Eckert, C.: Measuring unlinkability revisited. In: Proceedings of the 2008 ACM Workshop on Privacy in the Electronic Society, WPES 2008, Alexandria, Virginia, USA, October 27, pp. 111-116. ACM Press, New York (2008)
Franz, M., Meyer, B., Pashalidis, A.: Attacking unlinkability: The importance of context. In: Borisov, N., Golle, P. (eds.) PET 2007. LNCS, vol. 4776, pp. 1-16. Springer, Heidelberg (2007)
Kogan, J.: Introduction to Clustering Large and High-Dimensional Data. Cambridge University Press, Cambridge (2007)
Machanavajjhala, A., Kifer, D., Gehrke, J., Venkitasubramaniam, M.: L-diversity: Privacy beyond k-anonymity. ACM Trans. Knowl. Discov. Data 1(1), 3 (2007)
Meilǎ, M.: Comparing clusterings-an information based distance. J. Multivar. Anal. 98(5), 873-895 (2007)
Meilǎ, M.: Comparing clusterings: an axiomatic view. In: ICML 2005: Proceedings of the 22nd International Conference on Machine Learning, Bonn, Germany, pp. 577-584. ACM Press, New York (2005)
Neubauer, M.: Modelling of pseudonymity under probabilistic linkability attacks. In: IEEE International Conference on Computational Science and Engineering, vol. 3, pp. 160-167 (2009)
Nijenhuis, A., Wilf, H. S.: Combinatorial Algorithms, 2nd edn. Academic Press Inc., London (1978)
Pashalidis, A.: Measuring the effectiveness and the fairness of relation hiding systems. In: Proceedings of the First International Workshop on Multimedia, Information Privacy and Intelligent Computing Systems (2008)
Rand, W. M.: Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association 66(336), 846-850 (1971)
Schiffner, S., Clauß, S.: Using linkability information to attack mix-based anonymity services. In: Goldberg, I., Atallah, M. J. (eds.) PETS 2009. LNCS, vol. 5672, pp. 94-107. Springer, Heidelberg (2009)
Steinbrecher, S., Köpsell, S.: Modelling unlinkability. In: Dingledine, R. (ed.) PET 2003. LNCS, vol. 2760, pp. 32-47. Springer, Heidelberg (2003)
Wagner, D., Wagner, S.: Comparing clusterings-an overview. Technical Report 2006-04, Faculty of Informatics, University of Karlsruhe, TH (2006)