<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Check-in service, being one of the most popular services in Mobile Social Network Services (MSNS), has serious personal privacy leakage threats. In this paper check-in sequences of pseudonym users were buffered, and a bit matrix for buffered check-in sequences was built, which can achieve privacy guarantee of k-anonymity. The method guarantees that the number of lost check-in locations is minimized while satisfying users’ privacy requirements. Besides, it also reduces the cost of finding a trajectory k-anonymity set. At last, the results of a set of comparative experiments with (k, δ)-anonymity on real world datasets show the method accuracy and efficiency.</p></abstract>

Check-in service, being one of the most popular services in Mobile Social Network Services (MSNS), has serious personal privacy leakage threats. In this paper check-in sequences of pseudonym users were buffered, and a bit matrix for buffered check-in sequences was built, which can achieve privacy guarantee of k-anonymity. The method guarantees that the number of lost check-in locations is minimized while satisfying users’ privacy requirements. Besides, it also reduces the cost of finding a trajectory k-anonymity set. At last, the results of a set of comparative experiments with (k, δ)-anonymity on real world datasets show the method accuracy and efficiency.

Privacy-Preserving of Check-in Services in MSNS Based on a Bit Matrix

School of Mathematics and Computer Science, Tongling College, Tongling, P. R. China

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Privacy-Preserving of Check-in Services in MSNS Based on a Bit Matrix"}

Check-in service, being one of the most popular services in Mobile Social Network Services (MSNS), has serious personal privacy leakage threats. In this paper...

Privacy-Preserving of Check-in Services in MSNS Based on a Bit Matrix

Publié en ligne: 03 juil. 2015

Pages: 111 - 118

DOI: https://doi.org/10.1515/cait-2015-0032

© by Chen Wen

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.