Privacy-Preserving Approach PBCN in Social Network With Differential Privacy
Article Properties
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DOI (url)
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Publication Date2020/06/01
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Indian UGC (journal)
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Refrences22
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Citations2
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Haiping Huang ORCID (unauthenticated)
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Dongjun Zhang
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Fu Xiao ORCID (unauthenticated)
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Kai Wang
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Jiateng Gu
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Ruchuan Wang
Cite
Huang, Haiping, et al. “Privacy-Preserving Approach PBCN in Social Network With Differential Privacy”. IEEE Transactions on Network and Service Management, vol. 17, no. 2, 2020, pp. 931-45, https://doi.org/10.1109/tnsm.2020.2982555.
Huang, H., Zhang, D., Xiao, F., Wang, K., Gu, J., & Wang, R. (2020). Privacy-Preserving Approach PBCN in Social Network With Differential Privacy. IEEE Transactions on Network and Service Management, 17(2), 931-945. https://doi.org/10.1109/tnsm.2020.2982555
Huang, Haiping, Dongjun Zhang, Fu Xiao, Kai Wang, Jiateng Gu, and Ruchuan Wang. “Privacy-Preserving Approach PBCN in Social Network With Differential Privacy”. IEEE Transactions on Network and Service Management 17, no. 2 (2020): 931-45. https://doi.org/10.1109/tnsm.2020.2982555.
Huang H, Zhang D, Xiao F, Wang K, Gu J, Wang R. Privacy-Preserving Approach PBCN in Social Network With Differential Privacy. IEEE Transactions on Network and Service Management. 2020;17(2):931-45.
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Emergence of Scaling in Random Networks | Science |
| 18,446 | 1999 |
| Real-time and spatio-temporal crowd-sourced social network data publishing with differential privacy | 2018 | |||
| 10.1137/1.9781611972788.67 | ||||
| k-Degree anonymity and edge selection: improving data utility in large networks | Knowledge and Information Systems |
| 36 | 2016 |
| The k-anonymity and l-diversity approaches for privacy preservation in social networks against neighborhood attacks | Knowledge and Information Systems |
| 93 | 2010 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Privacy-Enhanced Intrusion Detection and Defense for Cyber-Physical Systems: A Deep Reinforcement Learning Approach | Security and Communication Networks |
| 4 | 2022 |
Differential Privacy via Haar Wavelet Transform and Gaussian Mechanism for Range Query | Computational Intelligence and Neuroscience |
| 2022 |
Citations Analysis
The category
Science: Science (General): Cybernetics: Information theory 1
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Privacy-Enhanced Intrusion Detection and Defense for Cyber-Physical Systems: A Deep Reinforcement Learning Approach and was published in 2022. The most recent citation comes from a 2022 study titled Privacy-Enhanced Intrusion Detection and Defense for Cyber-Physical Systems: A Deep Reinforcement Learning Approach. This article reached its peak citation in 2022, with 2 citations. It has been cited in 2 different journals. Among related journals, the Security and Communication Networks cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.