Measuring Anonymity

  • Authors:
  • Xiaojuan Cai;Yonggen Gu

  • Affiliations:
  • BASICS Lab, Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China 200240;Department of Computer Science, Huzhou Teacher College, Zhejiang, China 313000

  • Venue:
  • ISPEC '09 Proceedings of the 5th International Conference on Information Security Practice and Experience
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Some systems offer probabilistic anonymity. The degree of anonymity is considered and defined by Reiter and Rubin [1]. In this paper metrics are proposed to measure anonymity of probabilistic systems. The metric induces a topology on probabilistic applied *** processes, which are used to model anonymous systems. The degree of anonymity is formally defined, and as an illustrating example, Crowds --- an anonymous system for web transaction --- is analyzed.