Results 61 to 70 of about 7,115,390 (197)

Data anonymization: k-anonymity and de-anonymization attacks

, 2017
The need for access to data concerning individuals is steadily increasing the last years. These data may be collected by governments and companies for various reasons and purposes.
Michailidou, Foteini, Μιχαηλίδου, Φωτεινή   +1 more
core  

Location privacy protection technology based on KHINN

Dianxin kexue, 2016
Aiming at the problem that the user’s location privacy may be leaked while users obtain location-based services,mobile terminal and LBS server the ends use k-anonymity mechanisms using the collaborative distributed model.Balanced incremental nearest ...
Lijin ZHUANG, Yuyi OU, Jie LING
doaj   +2 more sources

A Personalized (p,k)-Anonymity Privacy Protection Algorithm [PDF]

Jisuanji gongcheng, 2018
Most of the existing anonymous algorithms only implement the privacy protection by quasi-identifier generalization,which do not consider personalized protection issues of the sensitive attribute.Aiming at this problem,by using the p-sensitive k-anonymity
JIA Junjie,YAN Guolei
doaj  

An Efficient Approach for LBS Privacy Preservation in Mobile Social Networks

Applied Sciences, 2019
With the rapid development of smart handheld devices, wireless communication, and positioning technologies, location-based service (LBS) has been gaining tremendous popularity in mobile social networks (MSN).
Guangcan Yang, Shoushan Luo, Hongliang Zhu, Yang Xin, Mingzhen Li, Yunfeng Wang   +5 more
doaj   +1 more source

Maintaining k-anonymity against incremental updates [PDF]

, 2007
K-anonymity is a simple yet practical mechanism to protect privacy against attacks of re-identifying individuals by joining multiple public data sources.
Ke Wang, Jian Xu, Zhibin Wang, Jian Pei, Wei Wang   +4 more
core   +1 more source

K-Anonymity Based Privacy Risk Budgeting System for Interactive Record Linkage

International Journal of Population Data Science, 2017
Objective Information privacy theory demonstrates mathematically that privacy is a budget constrained problem and that privacy preserving algorithms(e.g., differential privacy) must rely on a budgeting system.
Hye-Chung Kum, Prannay Jain
doaj   +1 more source

Achieving Effective $k$ -Anonymity for Query Privacy in Location-Based Services

IEEE Access, 2017
Location-based services (LBS) leveraged by ubiquitous mobile devices have brought great convenience to mobile users in various aspects, including communication, information exchange, social activities, and so on.
Jinbao Wang, Yingshu Li, Donghua Yang, Hong Gao, Guangchun Luo, Jianzhong Li   +5 more
doaj   +1 more source

K-Anonymity Privacy Protection Algorithm for Multi-Dimensional Data against Skewness and Similarity Attacks. [PDF]

Sensors (Basel), 2023
Su B, Huang J, Miao K, Wang Z, Zhang X, Chen Y.   +5 more
europepmc   +1 more source

Geolocation with respect to personal privacy for the Allergy Diary app - a MASK study

World Allergy Organization Journal, 2018
Background Collecting data on the localization of users is a key issue for the MASK (Mobile Airways Sentinel networK: the Allergy Diary) App. Data anonymization is a method of sanitization for privacy.
D. Samreth, S. Arnavielhe, F. Ingenrieth, A. Bedbrook, G. L. Onorato, R. Murray, R. Almeida, M. A. Mizani, J. Fonseca, E. Costa, J. Malva, M. Morais-Almeida, A. M. Pereira, A. Todo-Bom, E. Menditto, C. Stellato, M. T. Ventura, D. Larenas-Linnemann, J-M. Fuentes-Pérez, Y. R. Huerta-Villalobos, A. A. Cruz, R. Stelmach, J. da Silva, R. Emuzyte, V. Kvedariene, A. Valiulis, I. Annesi-Maesano, I. Bosse, P. Demoly, P. Devillier, J. F. Fontaine, P. Kuna, B. Samolinski, L. Klimek, R. Mösges, O. Pfaar, S. Shamai, M. Bewick, D. Ryan, A. Sheikh, J. M. Anto, V. Cardona, J. Mullol, A. Valero, N. H. Chavannes, W. J. Fokkens, S. Reitsma, R. E. Roller-Wirnsberger, P. V. Tomazic, T. Haahtela, S. Toppila-Salmi, E. Valovirta, M. Makris, N. G. Papadopoulos, E. P. Prokopakis, F. Psarros, B. Gemicioğlu, A. Yorgancioglu, C. Bindslev-Jensen, E. Eller, I. Kull, M. Wickman, C. Bachert, P. W. Hellings, B. Pugin, S. Bosnic-Anticevich, R. E. O’Hehir, V. Kolek, M. Sova, K. Wehner, G. De Vries, M. van Eerd, D. Laune, J. Wittmann, J. Bousquet, P. Poncelet, the MASK study group   +76 more
doaj   +1 more source

10th Asia-Pacific Web Conference (APWeb 2008) [PDF]

, 2008
One of the emerging concepts in microdata protection is k-anonymity, introduced by Samarati and Sweeney. k-anonymity provides a simple and efficient approach to protect private individual information and is gaining increasing popularity.
Sun, Xiaoxun, Li, Jiuyong, Wang, Hua
core   +1 more source