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Our analysis is based on a large dataset which contains one-month URL logs generated by around 100 thousand mobile users. After parsing and contextualizing URLs ...
An efficient Internet metadata analytics framework called URLSight is proposed, which attempts to profile user behaviors by simply analyzing the Internet ...
Our analysis is based on a large dataset which contains one-month URL logs generated by around 100 thousand mobile users. After parsing and contextualizing URLs ...
Our analysis is based on a large dataset which contains one-month URL logs generated by around 100 thousand mobile users. After parsing and contextualizing URLs ...
URLSight: Profiling mobile users via large-scale Internet metadata analytics. H Li, G Ye, X Liu, F Zhao, D Wu, X Lin. 2016 IEEE Trustcom/BigDataSE/ISPA, 1728 ...
... User Behaviors · URLSight: Profiling Mobile Users via Large-Scale Internet Metadata Analytics. Citing Conference Paper. August 2016. Hui Li. ·. Guoqiao Ye.
Exploiting Massive D2D Collaboration for Energy-Efficient Mobile Edge Computing ... URLSight: Profiling Mobile Users via Large-Scale Internet Metadata Analytics ...
URLSight: Profiling Mobile Users via Large-Scale Internet Metadata Analytics pp. 1728-1733. Improving JavaScript Malware Classifier's Security against ...
URLSight: Profiling Mobile Users via Large-Scale Internet Metadata Analytics .....................................1728. Hui Li, Guoqiao Ye, Xuezheng Liu, Fei ...
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