云南高校图书馆联盟文献共享服务平台- ANONYMIZATION

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A New Privacy-Preserving Data Publishing Algorithm Utilizing Connectivity-Based Outlier Factor and Mondrian Techniques: 《Computers, Materials & Continua》2023年第8期1515-1535,共21页Burak Cem Kara Can Eyüpoglu; supported by the Scientific and Technological Research Council of Turkiye,under Project No.(122E670).; Developing a privacy-preserving data publishing algorithm that stops individuals from disclosing their identities while not ignoring data utility remains an important goal to achieve.Because finding the trade-off betw...; 关键词：Data anonymization privacy-preserving data publishing K-ANONYMITY GENERALIZATION MONDRIAN

Data De-identification Framework: 《Computers, Materials & Continua》2023年第2期3579-3606,共28页Junhyoung Oh Kyungho Lee; As technology develops,the amount of information being used has increased a lot.Every company learns big data to provide customized services with its customers.Accordingly,collecting and analyzing data of the data sub...; 关键词：PRIVACY de-identification ANONYMIZATION pseudonymization information security

Experiments and Analyses of Anonymization Mechanisms for Trajectory Data Publishing: 《Journal of Computer Science & Technology》2022年第5期1026-1048,共23页She Sun Shuai Ma Jing-He Song Wen-Hai Yue Xue-Lian Lin Tiejun Ma; This work was partially supported by the National Natural Science Foundation of China under Grant Nos.61925203 and 62172024;Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing。; With the advancing of location-detection technologies and the increasing popularity of mobile phones and other location-aware devices,trajectory data is continuously growing.While large-scale trajectories provide oppo...; 关键词：ANONYMIZATION PRIVACY reidentification TRAJECTORY UTILITY

Slicing-Based Enhanced Method for Privacy-Preserving in Publishing Big Data: 《Computers, Materials & Continua》2022年第8期3665-3686,共22页Mohammed BinJubier Mohd Arfian Ismail Abdulghani Ali Ahmed Ali Safaa Sadiq; This work was supported by Postgraduate Research Grants Scheme(PGRS)with Grant No.PGRS190360.; Publishing big data and making it accessible to researchers is important for knowledge building as it helps in applying highly efficient methods to plan,conduct,and assess scientific research.However,publishing and pr...; 关键词：Big data big data privacy preservation ANONYMIZATION data publishing

IDEA:A Utility-Enhanced Approach to Incomplete Data Stream Anonymization被引量：1: 《Tsinghua Science and Technology》2022年第1期127-140,共14页Lu Yang Xingshu Chen Yonggang Luo Xiao Lan Wei Wang; supported by the National Natural Science Foundation of China (Nos. U19A2081 and 61802270);the Fundamental Research Funds for the Central Universities (No. 2020SCUNG129)。; The prevalence of missing values in the data streams collected in real environments makes them impossible to ignore in the privacy preservation of data streams.However,the development of most privacy preservation meth...; 关键词：ANONYMIZATION GENERALIZATION incomplete data streams privacy preservation UTILITY

Multi-Dimensional Anonymization for Participatory Sensing Systems: 《International Journal of Communications, Network and System Sciences》2020年第6期73-103,共31页Nafeez Abrar Shaolin Zaman Anindya Iqbal Manzur Murshed; Participatory sensing systems are designed to enable community people to collect, analyze, and share information for their mutual benefit in a cost-effective way. The apparently insensitive information transmitted in ...; 关键词：ANONYMIZATION PRIVACY Location Privacy Participatory Sensing

Research on Privacy Preserving Data Mining: 《Journal of Information Hiding and Privacy Protection》2019年第2期61-68,共8页Pingshui Wang Tao Chen Zecheng Wang; This work was supported by the National Social Science Foundation Project of China under Grant 16BTQ085.; In recent years,with the explosive development in Internet,data storage and data processing technologies,privacy preservation has been one of the greater concerns in data mining.A number of methods and techniques have...; 关键词：Privacy preserving data mining RANDOMIZATION ANONYMIZATION secure multiparty computation

Reproducibility and replicability of systematic reviews: 《World Journal of Meta-Analysis》2019年第3期66-71,共6页Farhad Shokraneh; Irreproducibility of research causes a major concern in academia.This concern affects all study designs regardless of scientific fields.Without testing the reproducibility and replicability it is almost impossible to ...; 关键词：Systematic review META-ANALYSIS REPRODUCIBILITY of results Automation DATA science DATA ANONYMIZATION Datasets GUIDELINE ADHERENCE GUIDELINE Peerreview

Utility-Based Anonymization Using Generalization Boundaries to Protect Sensitive Attributes: 《Journal of Information Security》2015年第3期179-196,共18页Abou-el-ela Abdou Hussien Nagy Ramadan Darwish Hesham A. Hefny; Privacy preserving data mining (PPDM) has become more and more important because it allows sharing of privacy sensitive data for analytical purposes. A big number of privacy techniques were developed most of which use...; 关键词：PRIVACY PRIVACY PRESERVING Data Mining K-ANONYMITY GENERALIZATION Boundaries Suppression

A privacy-preserving data collection model for digital community被引量：4: 《Science China(Information Sciences)》2015年第3期33-48,共16页LI HongTao MA JianFeng FU Shuai; supported by Changjiang Scholars and Innovative Research Team in University of China(GrantNo.IRT1078);Key Program of NSF C-Guangdong Union Foundation of China(Grant No.U1135002);National Natural Science Foundation of China(Grant Nos.61100230,61202389);National Science and Technology Major Project of China(Grant No.2011ZX03005-002);Fundamental Research Funds for the Central Universities of China(Grant No.JY10000903001); The widespread use of mobile devices in digital community has promoted the variety of data collecting methods. However, the privacy of individuals plays an important role in data processing or data transmission, and s...; 关键词：ANONYMIZATION digital community data collection data privacy ENCRYPTION

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