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Practical m-k-Anonymization for Collaborative Data Publishing without Trusted Third Party
Joint Authors
Choo, Kim-Kwang Raymond
Hua, Jingyu
Tang, An
Pan, Qingyun
Ding, Hong
Ren, Yizhi
Source
Security and Communication Networks
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-16
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
In collaborative data publishing (CDP), an m-adversary attack refers to a scenario where up to m malicious data providers collude to infer data records contributed by other providers.
Existing solutions either rely on a trusted third party (TTP) or introduce expensive computation and communication overheads.
In this paper, we present a practical distributed k-anonymization scheme, m-k-anonymization, designed to defend against m-adversary attacks without relying on any TTPs.
We then prove its security in the semihonest adversary model and demonstrate how an extension of the scheme can also be proven secure in a stronger adversary model.
We also evaluate its efficiency using a commonly used dataset.
American Psychological Association (APA)
Hua, Jingyu& Tang, An& Pan, Qingyun& Choo, Kim-Kwang Raymond& Ding, Hong& Ren, Yizhi. 2017. Practical m-k-Anonymization for Collaborative Data Publishing without Trusted Third Party. Security and Communication Networks،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1203224
Modern Language Association (MLA)
Hua, Jingyu…[et al.]. Practical m-k-Anonymization for Collaborative Data Publishing without Trusted Third Party. Security and Communication Networks No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1203224
American Medical Association (AMA)
Hua, Jingyu& Tang, An& Pan, Qingyun& Choo, Kim-Kwang Raymond& Ding, Hong& Ren, Yizhi. Practical m-k-Anonymization for Collaborative Data Publishing without Trusted Third Party. Security and Communication Networks. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1203224
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203224