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- W4382341326 abstract "Anonymity is one the most important problems that emerged with the increasing number of graph-based social networks. It is not straightforward to ensure anonymity by adding or removing some nodes from the graph. Therefore, a more sophisticated approach is required. The consideration of the degree of the nodes in a graph may facilitate having knowledge about specific nodes. To handle this problem, one of the prominent solutions is k-degree anonymization where some nodes involving particular degree values are anonymized by masking its information from the attackers. Our objective is to evaluate the achievement of k-degree anonymization with a well-known graph structure, namely, Barabási-Albert graph, which is similar to the graphs on social networks. Hence, we generate multiple synthetic Barabási-Albert graphs and evaluate the k-degree anonymization performance on these graphs. According to experimental results, the success of k-degree anonymity approximately proportional to the number of edges or nodes." @default.
- W4382341326 created "2023-06-29" @default.
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- W4382341326 date "2023-06-22" @default.
- W4382341326 modified "2023-10-17" @default.
- W4382341326 title "Barabási-Albert Çizgesinde K-Derece Anonimleştirmenin Performans Analizi" @default.
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- W4382341326 doi "https://doi.org/10.35414/akufemubid.1149701" @default.
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