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

Risa Sugai; Yuichi Sei; Yasuyuki Tahara; Akihiko Ohsuga

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Paper

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

Topics: Privacy and Security Models; Privacy Enhancing Technologies; Privacy, Security and Trust in Social Media; Security and Privacy Metrics

In Proceedings of the 9th International Conference on Information Systems Security and Privacy ICISSP - Volume 1, 493-500, 2023 , Lisbon, Portugal

Authors: Risa Sugai ; Yuichi Sei ; Yasuyuki Tahara and Akihiko Ohsuga

Affiliation: Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan

Keyword(s): Social Network, Link Prediction, Data Mining, Privacy Protection Technique.

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.

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Paper citation in several formats:

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 - ICISSP; ISBN 978-989-758-624-8; ISSN 2184-4356, SciTePress, pages 493-500. DOI: 10.5220/0011676800003405

@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 - ICISSP},
year={2023},
pages={493-500},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011676800003405},
isbn={978-989-758-624-8},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Information Systems Security and Privacy - ICISSP
TI - A k-Anonymization Method for Social Network Data with Link Prediction
SN - 978-989-758-624-8
IS - 2184-4356
AU - Sugai, R.
AU - Sei, Y.
AU - Tahara, Y.
AU - Ohsuga, A.
PY - 2023
SP - 493
EP - 500
DO - 10.5220/0011676800003405
PB - SciTePress