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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2016
عنوان انگلیسی مقاله:
A Privacy Weaving Pipeline for Open Big Data
ترجمه فارسی عنوان مقاله:
خط مشی ساخت و ساز پایپ لاین برای داده های بزرگ باز
منبع:
IEEE - 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
نویسنده:
Yuan-Chih Yu , Dwen-Ren Tsai
چکیده انگلیسی:
The power of big data gives us an unprecedented
chance to understand, analyze, and recreate the world, while open
data ensures that power be shared and widely exploited. Open and
big data has become the emerging topics for researchers and
governments. Thus, the related privacy issues also become an
emerging urgent problem. In this work, we propose a conceptual
framework of privacy weaving pipeline dedicated for producing
open and big data while preserving privacy. Within the processing
pipeline, each step of the process flow considers the privacy
assurance to manipulate datasets. However, the complexity of
process flow is the same as normal data pipeline. The experimental
prototype confirms the feasibility of framework design. We hope
this work will facilitate the development of open and big data
industry.
Keywords: open data | big data | data pipeline | privacy breach
قیمت: رایگان
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