Results 21 to 30 of about 47,561 (256)

Spatiotemporal Mobility Based Trajectory Privacy-Preserving Algorithm in Location-Based Services

Sensors, 2021
Recent years have seen the wide application of Location-Based Services (LBSs) in our daily life. Although users can enjoy many conveniences from the LBSs, they may lose their trajectory privacy when their location data are collected.
Zhiping Xu, Jing Zhang, Pei-wei Tsai, Liwei Lin, Chao Zhuo   +4 more
doaj   +1 more source

An Efficient Location Privacy Protection Scheme Based on the Chinese Remainder Theorem

Tsinghua Science and Technology, 2016
Traditional k-anonymity schemes cannot protect a user’s privacy perfectly in big data and mobile network environments. In fact, existing k-anonymity schemes only protect location in datasets with small granularity.
Jingjing Wang, Yiliang Han, Xiaoyuan Yang   +2 more
doaj   +1 more source

The K-Anonymization Method Satisfying Personalized Privacy Preservation

Chemical Engineering Transactions, 2015
Even if k-anonymity model can prevent publishing data from disclosing privacy effectively and efficiently, due to the uneven distribution of the sensitive data, ordinary k-anonymization method cannot guarantee each tuple satisfying the personalized ...
J.L. Song, L.M. Huang, G. Wang, Y. Kang, H.B. Liu   +4 more
doaj   +1 more source

PTA: An Efficient System for Transaction Database Anonymization

IEEE Access, 2016
Several approaches have been proposed to anonymize relational databases using the criterion of k-anonymity, to avoid the disclosure of sensitive information by re-identification attacks.
Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong   +3 more
doaj   +1 more source

Attribute Couplet Attacks and Privacy Preservation in Social Networks

IEEE Access, 2017
The emerging of social networks, e.g., Facebook, Twitter, and Instagram, has eventually changed the way in which we live. Social networks are acquiring and storing a significant amount of profile information and daily activities of over billions of ...
Dan Yin, Yiran Shen, Chenyang Liu
doaj   +1 more source

MI Loss Evaluation Model for k-Anonymity in PPDM [PDF]

Jisuanji gongcheng, 2022
Privacy Preserving Data Mining(PPDM) uses methods such as anonymization to allow data owners to safely publish data sets that are effectively available in data mining without revealing private information.The k-anonymity algorithm, one of the most widely
GU Qingzhu, DONG Hongbin
doaj   +1 more source

Designing a Novel Approach Using a Greedy and Information-Theoretic Clustering-Based Algorithm for Anonymizing Microdata Sets

Entropy, 2023
Data anonymization is a technique that safeguards individuals’ privacy by modifying attribute values in published data. However, increased modifications enhance privacy but diminish the utility of published data, necessitating a balance between privacy ...
Reza Ahmadi Khatir, Habib Izadkhah, Jafar Razmara   +2 more
doaj   +1 more source

Privacy-Preserving Framework for Blockchain-Based Stock Exchange Platform

IEEE Access, 2022
This paper presents a privacy persevering framework for a decentralized stock exchange platform, ensuring anonymity and unlinkability of the investors’ accounts and their respective trading activities.
Hamed Al-Shaibani, Noureddine Lasla, Mohamed Abdallah, Spiridon Bakiras   +3 more
doaj   +1 more source

Hubungan antara Anonimitas dan Moral Disengagement dengan Perilaku Cyberbullying pada Penggemar K-Pop yang Melakukan Fanwar

Jurnal Psikologi Perseptual, 2023
This study is a quantitative study that aims to determine the relationship between anonymity and moral disengagement with cyberbullying behavior in K-Pop fans who do fanwar.
Erfira Khoiriyah, Ridwan Budi Pramono
doaj   +1 more source

On the Complexity of Optimal k-Anonymity: A New Proof Based on Graph Coloring

IEEE Access
Privacy is a complex balancing problem between risks and utility of data. K-anonymity, a fundamental model for preserving privacy, guarantees that an item cannot be differentiated from at least k-1 other items.
Yavuz Canbay
doaj   +1 more source