Yabin Xu1, 2, *, Xuyang Meng1, Yangyang Li3, Xiaowei Xu4, *
CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 137-155, 2020, DOI:10.32604/cmc.2020.05825
Abstract In order to effectively detect the privacy that may be leaked through social
networks and avoid unnecessary harm to users, this paper takes microblog as the research
object to study the detection of privacy disclosure in social networks. First, we perform
fast privacy leak detection on the currently published text based on the fastText model. In
the case that the text to be published contains certain private information, we fully
consider the aggregation effect of the private information leaked by different channels,
and establish a convolution neural network model based on multi-dimensional features
(MF-CNN) to detect privacy disclosure comprehensively and… More >
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