A k-Anonymization Method for Social Network Data with Link Prediction

Risa Sugai, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga

2023

Abstract

Recently, social networking services have come to pervade every aspect of our lives, increasing the demand for the utilization of social network data. However, since the utilization of social network data has the risk of personal identification, k-anonymization methods have been proposed to protect privacy as a solution. In addition, the actual data contains missing values, which may reduce the utility of the data by applying conventional methods. In this paper, we propose a method for k-anonymization of social network data with link prediction, with the aim of improving the utility of anonymized data. Based on evaluation experiments on real data, we examine the utility of anonymized data.

Paper Citation

in Harvard Style

Sugai R., Sei Y., Tahara Y. and Ohsuga A. (2023). A k-Anonymization Method for Social Network Data with Link Prediction. In Proceedings of the 9th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-624-8, pages 493-500. DOI: 10.5220/0011676800003405

in Bibtex Style

@conference{icissp23,
author={Risa Sugai and Yuichi Sei and Yasuyuki Tahara and Akihiko Ohsuga},
title={A k-Anonymization Method for Social Network Data with Link Prediction},
booktitle={Proceedings of the 9th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2023},
pages={493-500},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011676800003405},
isbn={978-989-758-624-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - A k-Anonymization Method for Social Network Data with Link Prediction
SN - 978-989-758-624-8
AU - Sugai R.
AU - Sei Y.
AU - Tahara Y.
AU - Ohsuga A.
PY - 2023
SP - 493
EP - 500
DO - 10.5220/0011676800003405