Privacy-Preserving Hierarchical Anonymization Framework over Encrypted Data
Privacy-Preserving Hierarchical Anonymization Framework over Encrypted Data
カテゴリ: 論文誌(論文単位)
グループ名: 【C】電子・情報・システム部門
発行日: 2024/10/01
タイトル(英語): Privacy-Preserving Hierarchical Anonymization Framework over Encrypted Data
著者名: Jing Jia (Graduate School of Science and Technology, Keio University), Kenta Saito (Graduate School of Science and Technology, Keio University), Hiroaki Nishi (Department of System Design, Faculty of Science and Technology, Keio University)
著者名(英語): Jing Jia (Graduate School of Science and Technology, Keio University), Kenta Saito (Graduate School of Science and Technology, Keio University), Hiroaki Nishi (Department of System Design, Faculty of Science and Technology, Keio University)
キーワード: k-anonymization,homomorphic encryption,secret sharing
要約(英語): Smart cities, which can monitor the real world and provide smart services in a variety of fields, have improved people's living standards as urbanization has accelerated. However, there are security and privacy concerns because smart city applications collect large amounts of privacy-sensitive information from people and their social circles. Anonymization, which generalizes data and reduces data uniqueness, is an important step in preserving the privacy of sensitive information. However, anonymization methods frequently require large datasets and rely on untrusted third parties to collect and manage data, particularly in a cloud environment. In this case, private data leakage remains a critical issue, discouraging users from sharing their data and impeding the advancement of smart city services. This problem can be solved if the computational entity performs anonymization without obtaining the original plain text. This study proposed a hierarchical k-anonymization framework using homomorphic encryption and secret sharing composed of two types of domains. Different computing methods are selected flexibly, and two domains are connected hierarchically to obtain higher-level anonymization results efficiently. The experimental results show that connecting two domains can accelerate the anonymization process, indicating that the proposed secure hierarchical architecture is practical and efficient.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.144 No.10 (2024) 特集:2023電気・電子・情報関係学会四国支部連合大会
本誌掲載ページ: 1011-1019 p
原稿種別: 論文/英語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/144/10/144_1011/_article/-char/ja/
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