Privacy preservation in big data from the communication perspective—A survey

T Wang, Z Zheng, MH Rehmani… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
The advancement of data communication technologies promotes widespread data collection
and transmission in various application domains, thereby expanding big data significantly …

Spatiotemporal correlation-aware dummy-based privacy protection scheme for location-based services

H Liu, X Li, H Li, J Ma, X Ma - IEEE INFOCOM 2017-IEEE …, 2017 - ieeexplore.ieee.org
Since the dummy-based method can provide precise query results without any requirement
for a third party or key sharing, it has been widely used to protect the user's location privacy …

Privacy games along location traces: A game-theoretic framework for optimizing location privacy

R Shokri, G Theodorakopoulos… - ACM Transactions on …, 2016 - dl.acm.org
The mainstream approach to protecting the privacy of mobile users in location-based
services (LBSs) is to alter (eg, perturb, hide, and so on) the users' actual locations in order to …

A geo-indistinguishable location perturbation mechanism for location-based services supporting frequent queries

J Hua, W Tong, F Xu, S Zhong - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
As location-based services (LBSs) on smartphones become increasingly popular, such
services are causing serious privacy concerns, because many users are unwilling to see …

Prolonging the hide-and-seek game: Optimal trajectory privacy for location-based services

G Theodorakopoulos, R Shokri, C Troncoso… - Proceedings of the 13th …, 2014 - dl.acm.org
Human mobility is highly predictable. Individuals tend to only visit a few locations with high
frequency, and to move among them in a certain sequence reflecting their habits and daily …

Supporting users to take informed decisions on privacy settings of personal devices

I Torre, OR Sanchez, F Koceva, G Adorni - Personal and Ubiquitous …, 2018 - Springer
Today, personal information has never been this prone to risk given the current
advancement in technologies especially on personal devices. These devices are able to …

Personalization vs. privacy in big data analysis

B Habegger, O Hasan, L Brunie, N Bennani… - International Journal of …, 2014 - hal.science
Personalization is the process of adapting the output of a system to a user's context and
profile. User information such as geographical location, academic and professional …

Equivalent mechanism: Releasing location data with errors through differential privacy

T Wang, Z Zheng, M Elhoseny - Future Generation Computer Systems, 2019 - Elsevier
Location-based services are raising remarkable convenience to our daily life while seriously
threatening the location privacy of individuals. Differential privacy provides a promising …

A privacy-preserving continuous location monitoring system for location-based services

D Song, J Sim, K Park, M Song - International Journal of …, 2015 - journals.sagepub.com
To protect users' private locations in location-based services, various location
anonymization techniques have been proposed. The most commonly used technique is …

Adaptive location perturbation

J Zhu, KH Kim, P Mohapatra - US Patent 9,756,460, 2017 - Google Patents
An example of adaptive location perturbation can include selecting, by a processing
resource of a mobile device executing instructions stored on a non-transitory medium …