Quantifying the Aggregation Size

  • Fábio Borges de Oliveira


This chapter analyzes the possibility for an attacker to recover either individual measurements or probable individual measurements after the aggregations with any Privacy-Preserving Protocol (PPP). The relation between the measurements and the leak of privacy depends on several variables.


Leakage Error-correcting code Combination Binomial System of linear equations Probability Probable solutions 


  1. 1.
    J.-M. Bohli, C. Sorge, O. Ugus, A privacy model for smart metering, in 2010 IEEE International Conference on Communications Workshops (ICC) (2010), pp. 1–5. doi: 10.1109/ICCW.2010.5503916
  2. 2.
    C. Dwork, Differential privacy: a survey of results. English, in Theory and Applications of Models of Computation, ed. by M. Agrawal et al., vol. 4978. Lecture Notes in Computer Science (Springer, Berlin, Heidelberg, 2008), pp. 1–19. isbn:978-3-540-79227-7. doi: 10.1007/978-3-540-79228-4_1.
  3. 3.
    G. Eibl, D. Engel, Influence of data granularity on smart meter privacy. IEEE Trans. Smart Grid 6 (2), 930–939 (2015). issn:1949–3053. doi: 10.1109/TSG.2014.2376613
  4. 4.
    U. Greveler, B. Justus, D. Löhr, Multimedia content identification through smart meter power usage profiles, in Computers, Privacy and Data Protection (CPDP 2012). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp) (2012)Google Scholar
  5. 5.
    M. Jawurek, F. Kerschbaum, Fault-tolerant privacy- preserving statistics, in Privacy Enhancing Technologies, ed. by S. Fischer-Hübner, M. Wright, vol. 7384. Lecture Notes in Computer Science (Springer, Berlin, Heidelberg, 2012), pp. 221–238. isbn:978-3-642-31679-1. doi: 10.1007/978-3-642-31680-7_12.
  6. 6.
    A. Molina-Markham et al., Private memoirs of a smart meter, in Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building. BuildSys ’10 (ACM, Zurich, 2010), pp. 61–66. isbn:978-1-4503-0458-0. doi: 10.1145/1878431.1878446.
  7. 7.
    M. Savi, C. Rottondi, G. Verticale, Evaluation of the precision-privacy tradeoff of data perturbation for smart metering. IEEE Trans. Smart Grid 6 (5), 2409–2416 (2015). issn:1949-3053. doi: 10.1109/TSG.2014.2387848

Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Fábio Borges de Oliveira
    • 1
  1. 1.Laboratório Nacional de Computação Científica (LNCC) - PetrópolisRio de JaneiroBrazil

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