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 check-in sequences of pseudonym users were buffered, and a bit matrix for buffered check-in sequences was built, which can achieve privacy gu...

Full description

Bibliographic Details
Main Author: Wen Chen
Format: Article
Language:English
Published: Sciendo 2015-06-01
Series:Cybernetics and Information Technologies
Subjects:
Online Access:https://doi.org/10.1515/cait-2015-0032
_version_ 1811272525879967744
author Wen Chen
author_facet Wen Chen
author_sort Wen Chen
collection DOAJ
description 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.
first_indexed 2024-04-12T22:41:55Z
format Article
id doaj.art-ca91ddc619e742818ded879dcc15da99
institution Directory Open Access Journal
issn 1314-4081
language English
last_indexed 2024-04-12T22:41:55Z
publishDate 2015-06-01
publisher Sciendo
record_format Article
series Cybernetics and Information Technologies
spelling doaj.art-ca91ddc619e742818ded879dcc15da992022-12-22T03:13:41ZengSciendoCybernetics and Information Technologies1314-40812015-06-0115211111810.1515/cait-2015-0032Privacy-Preserving of Check-in Services in MSNS Based on a Bit MatrixWen Chen0School of Mathematics and Computer Science, Tongling College, Tongling, P. R. ChinaCheck-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.https://doi.org/10.1515/cait-2015-0032privacy preservationlocation privacytrajectory privacymobile social networks.
spellingShingle Wen Chen
Privacy-Preserving of Check-in Services in MSNS Based on a Bit Matrix
Cybernetics and Information Technologies
privacy preservation
location privacy
trajectory privacy
mobile social networks.
title Privacy-Preserving of Check-in Services in MSNS Based on a Bit Matrix
title_full Privacy-Preserving of Check-in Services in MSNS Based on a Bit Matrix
title_fullStr Privacy-Preserving of Check-in Services in MSNS Based on a Bit Matrix
title_full_unstemmed Privacy-Preserving of Check-in Services in MSNS Based on a Bit Matrix
title_short Privacy-Preserving of Check-in Services in MSNS Based on a Bit Matrix
title_sort privacy preserving of check in services in msns based on a bit matrix
topic privacy preservation
location privacy
trajectory privacy
mobile social networks.
url https://doi.org/10.1515/cait-2015-0032
work_keys_str_mv AT wenchen privacypreservingofcheckinservicesinmsnsbasedonabitmatrix