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- W4221032004 abstract "Dynamic social networks also suffer from privacy violation due to the continuous release of data. In order to defend against enemy attacks, a new dynamic privacy-preserving method is innovated, called Dynamic <math xmlns=http://www.w3.org/1998/Math/MathML id=M1> <msup> <mrow> <mi>k</mi> </mrow> <mrow> <mi>w</mi> </mrow> </msup> </math> Re-Structured Diversity Anonymity ( <math xmlns=http://www.w3.org/1998/Math/MathML id=M2> <msup> <mrow> <mi>k</mi> </mrow> <mrow> <mi>w</mi> </mrow> </msup> </math> -SDA). This method limits the probability of disclosure of node/community identities to <math xmlns=http://www.w3.org/1998/Math/MathML id=M3> <mn>1</mn> <mo>/</mo> <mi>k</mi> </math> when data are continuously published by protecting individuals in groups. The graph based on the previous <math xmlns=http://www.w3.org/1998/Math/MathML id=M4> <mi>w</mi> <mo>−</mo> <mn>1</mn> </math> is released, missing some graph alterations. The advantage of the proposed method is to save many features of the network while protecting privacy efficiently and effectively." @default.
- W4221032004 created "2022-04-03" @default.
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- W4221032004 date "2022-03-22" @default.
- W4221032004 modified "2023-09-30" @default.
- W4221032004 title "Building Security Mechanisms for Cross-Border Business Customer Data Analysis Based on Smart Computing" @default.
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- W4221032004 doi "https://doi.org/10.1155/2022/9017267" @default.
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