Cryptology ePrint Archive: Report 2018/1145

Privacy Computing: Concept, Computing Framework And Future Development Trends

Fenghua Li and Hui Li and Ben Niu and Jinjun Chen

Abstract: With the rapid development of information technology and the continuous evolution of personalized services, huge amounts of data are accumulated by the large Internet company in the process of serving users. Moreover, dynamic data interactions increase the intentional/unintentional privacy persistence in different information systems. However, the following problems such as the short board effect of privacy information preservation among different information systems and the difficulty of tracing the source of privacy violations are becoming more and more serious. Therefore, existing privacy preserving schemes cannot provide a systematic preservation. In this paper, we pay attention to the links of information lifecycle, such as information collection, storage, processing, distribution and destruction. Then we propose the theory of privacy computing and the key technology system, including privacy computing framework, formal definition of privacy computing, four principles that should be followed in privacy computing, algorithm design criteria, evaluation of privacy preserving effect, privacy computing language and so on. Finally, we employ four application scenarios to describe the universal application of privacy computing and prospect of the future research trends. It is expected to guide the theoretical research on user's privacy preservation under open environments.

Category / Keywords: Privacy computing, privacy information description, privacy metric, evaluation of privacy preserving effect, privacy computing language

Date: received 23 Nov 2018

Contact author: niuben at iie ac cn

Available format(s): PDF | BibTeX Citation

Version: 20181203:021300 (All versions of this report)

Short URL: ia.cr/2018/1145


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