A graph based approach for privacy preservation of citizen data in e-governance applications
Author:
Affiliation:
1. Parala Maharaja Engineering College
2. Berhampur University
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3325112.3325254
Reference13 articles.
1. Towards identity anonymization on graphs
2. F. Rousseau J. Casas-Roma Michalis Vazirgiannis Community-preserving anonymization of graphs KnowlInf Syst. (2017). 10.1007/s10115-017-1064-y F. Rousseau J. Casas-Roma Michalis Vazirgiannis Community-preserving anonymization of graphs KnowlInf Syst. (2017). 10.1007/s10115-017-1064-y
3. J. Casas-Roma J. Herrera-Joancomarti V. Torra k -Degree anonymity and edge selection: improving data utility in large networks KnowlInfSyst (2017) 50: 447-474. 10.1007/s10115-016-0947-7 J. Casas-Roma J. Herrera-Joancomarti V. Torra k -Degree anonymity and edge selection: improving data utility in large networks KnowlInfSyst (2017) 50:447-474. 10.1007/s10115-016-0947-7
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1. Challenges, Citizens' Trust and Privacy Protection Models in e-Government Systems: Security and Privacy Perspective: Student paper;2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH);2024-03-20
2. Study and Analysis of various Privacy Preserved Data Sharing Framework in E-Government System based on Consortium Blockchain: A Challenging Overview;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11
3. Algorithms to anonymize structured medical and healthcare data: A systematic review;Frontiers in Bioinformatics;2022-12-22
4. Rank-Label Anonymization for the Privacy-Preserving Publication of a Hypergraph Structure;IEEE Access;2022
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