期刊
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
卷 21, 期 1, 页码 753-778出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/COMST.2018.2865107
关键词
Privacy; data communication; differential privacy; indistinguishability; background information
资金
- Fundamental Research Funds for the Central Universities [2042017kf0044]
- China Post-Doctoral Science Foundation [2017M612511]
- National Natural Science Foundation of China [61701453, 41671443]
- LIESMARS Special Research Funding
The advancement of data communication technologies promotes widespread data collection and transmission in various application domains, thereby expanding big data significantly. Sensitive information about individuals, which is typically evident or hidden in data, is prone to various privacy attacks and serious risks of privacy disclosure. Corresponding approaches to data privacy preservation have been proposed to provide mechanisms for preserving data privacy while pubilishing useful information or mining valuable information from sanitized data. In this work, we present a comprehensive survey of privacy preservation in big data from the communication perspective. Specifically, we cover the fundamental privacy-preserving framework and privacy-preserving technologies, particularly differential privacy. We also survey the adaptations and variants of differential privacy for different emerging applications and the challenges to differential privacy. In addition, we provide future research directions about privacy preservation in communication field.
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