Abstract

With the advent of the era of big data, human society is facing unprecedented opportunities and challenges. In many fields where big data is widely used, e-commerce is undoubtedly a crucial one. While the advanced data analysis technology penetrates into every link of e-commerce transaction, it not also brings about convenience, but also causes many adverse effects. On the one hand, this paper analyzed both the current situation of consumer privacy security on e-commerce platform and the increasingly mature application of differential privacy in various IT fields. It is found to be promising that with its good feature of privacy ambiguity, consumer privacy protection in differential privacy mechanism can meet the requirements of a more robust development of e-commerce in big data era. On the other hand, this paper briefly discussed about consumer protection in legal level, inspired by relevant researches done on GDPR.

Details

Title
E-Commerce Consumer Privacy Protection Based on Differential Privacy
Author
Zhong, Guorong 1 

 International School, Beijing University of Posts and Telecommunications, Beijing 100876, China 
Publication year
2019
Publication date
Feb 2019
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2565289170
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.