ISSN 1000-1239 CN 11-1777/TP

Journal of Computer Research and Development ›› 2015, Vol. 52 ›› Issue (1): 229-247.doi: 10.7544/issn1000-1239.2015.20131340

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Personal Privacy Protection in the Era of Big Data

Liu Yahui1,2,Zhang Tieying1,Jin Xiaolong1,Cheng Xueqi1   

  1. 1(Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190); 2(Shihezi University, Shihezi, Xinjiang 832003)
  • Online:2015-01-01

Abstract: With the development of information technology, emerging services based on Web2.0 technologies such as blog, microblog, social networks, and the Internet of things produce various types of data at an unprecedented rate, while cloud computing provides a basic storage infrastructure for big data. All of these lead to the arrival of the big data era. Big data contains great value. Data become the most valuable wealth of the enterprise, but big data also brings grand challenges. Personal privacy protection is one of the major challenges of big data. People on the Internet leave many data footprint with cumulativity and relevance. Personal privacy information can be found by gathering data footprint in together. Malicious people use this information for fraud. It brings many trouble or economic loss to personal life. Therefore, the issue of personal privacy has caused extensive concern of the industry and academia. However, there is little work on the protection of personal privacy at present. Firstly, the basic concepts of big data privacy protection are introduced, and the challenges and research on personal privacy concern are discussed. Secondly, the related technology of privacy protection is described from the data layer, application layer and data display layer. Thirdly, several important aspects of the personal privacy laws and industry standards are probed in the era of big data. Finally, the further research direction of personal privacy protection is put forward.

Key words: personal privacy protection, personal privacy concern, privacy protection technology, big data privacy, big data

CLC Number: