kt-Safety: Graph Release via k-Anonymity and t-Closeness

In a wide spectrum of real-world applications, it is very important to analyze and mine graph data such as social networks, communication networks, citation networks, and so on. However, the release of such graph data often raises privacy issue, and the graph privacy preservation has recently drawn...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2023-09, Vol.35 (9), p.9102-9113
Hauptverfasser:	Ren, Weilong, Ghazinour, Kambiz, Lian, Xiang
Format:	Artikel
Sprache:	eng
Schlagworte:	<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> k</tex-math> <mml:math> <mml:mi>k</mml:mi> </mml:math> <inline-graphic xlink:href="lian-ieq10-3221333.gif" xlink:type="simple"/> </inline-formula> </named-content>-anonymity <named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> kt</tex-math> <mml:math> <mml:mrow> <mml:mi>k</mml:mi> <mml:mi>t</mml:mi> </mml:mrow> </mml:math> <inline-graphic xlink:href="lian-ieq9-3221333.gif" xlink:type="simple"/> </inline-formula> </named-content>-safety <named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> t</tex-math> <mml:math> <mml:mi>t</mml:mi> </mml:math> <inline-graphic xlink:href="lian-ieq11-3221333.gif" xlink:type="simple"/> </inline-formula> </named-content>-closeness Data models Data privacy Information filtering Information integrity Privacy Remuneration Social networking (online)
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