Item Infomation
Title: | HAkAu: hybrid algorithm for effective k-automorphism anonymization of social networks |
Authors: | Jana, Medková Josef, Hynek |
Issue Date: | 2023 |
Publisher: | Springer |
Abstract: | Online social network datasets contain a large amount of various information about their users. Preserving users’ privacy while publishing or sharing datasets with third parties has become a challenging problem. The k-automorphism is the anonymization method that protects the social network dataset against any passive structural attack. It provides a higher level of protection than other k-anonymity methods, including k-degree or k-neighborhood techniques. In this paper, we propose a hybrid algorithm that effectively modifies the social network to the k-automorphism one. |
Description: | CC BY |
URI: | https://link.springer.com/article/10.1007/s13278-023-01064-1 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7697 |
Appears in Collections | OER - Công nghệ thông tin |
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