DP-AGM: A Differential Privacy Preserving Method for Binary Relationship in Mobile Networks-Reference-Cited by-同舟云学术

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DP-AGM: A Differential Privacy Preserving Method for Binary Relationship in Mobile Networks

Published:2023-02-11 Issue: Volume: Page:
ISSN:1383-469X
Container-title:Mobile Networks and Applications
language:en
Short-container-title:Mobile Netw Appl

Author:

Ning Bo,Zhang Xinjian,Gao Shuai,Li Guanyu

Funder

National Natural Science Foundation of China

Scientific Research Fund of Liaoning Provincial Education Department

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s11036-023-02098-7.pdf

Reference43 articles.

1. Qin Z, Yu T, Yang Y, Khalil I, Xiao X, Ren K (2017) Generating synthetic decentralized social graphs with local differential privacy. In: Proceedings of the 2017 ACM SIGSAC conference on computer and communications security, pp 425–438

2. Li N, Ye Q (2019) Mobile data collection and analysis with local differential privacy. In: 2019 20th IEEE international conference on Mobile data management (MDM). IEEE, pp 4–7

3. Wu S, Zhang Y, Gao C, Bian K, Cui B (2020) Garg: anonymous recommendation of point-of-interest in mobile networks by graph convolution network. Data Sci Eng 5:433–447

4. Lin Y, Tu Y, Dou Z, Chen L, Mao S (2020) Contour Stella image and deep learning for signal recognition in the physical layer. IEEE Transactions on Cognitive Communications and Networking 7(1):34–46

5. Ya TU, Yun LIN, Haoran ZHA, Zhang J, Yu WANG, Guan GUI, Shiwen MAO (2022) Large-scale real-world radio signal recognition with deep learning. Chin J Aeronaut 35(9):35–48

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