OpenAlex | D2D Big Data Privacy-Preserving Framework Based on (<i>a</i>, <i>k</i>)-Anonymity Model

D2D Big Data Privacy-Preserving Framework Based on (a, k)-Anonymity Model

Work

Year: 2019

Type: article

Abstract: As a novel and promising technology for 5G networks, device‐to‐device (D2D) communication has garnered a significant amount of research interest because of the advantages of rapid sharing and high acc... more

Source: Mathematical Problems in Engineering

Authors Jie Wang, Hongtao Li, Feng Guo, Wenyin Zhang, Yifeng Cui

Institutions Shanxi Normal University, Linyi University

Cites: 20

Cited by: 5

Related to: 10

FWCI: 0.563

Citation percentile (by year/subfield): 68.67

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

APC paid (est): $2,400

Funders National Natural Science Foundation of China, Natural Science Foundation of Shanxi Province, Natural Science Foundation of Shandong Province, Government of Shandong Province

Grant IDS 61702316, 201801D221177, ZR2015FL032, J13LN84