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%0 Journal Article
%1 journals/monet/TangTSZY21
%A Tang, Dan
%A Tang, Liu
%A Shi, Wei
%A Zhan, Sijia
%A Yang, Qiuwei
%D 2021
%J Mob. Networks Appl.
%K dblp
%N 4
%P 1705-1722
%T MF-CNN: a New Approach for LDoS Attack Detection Based on Multi-feature Fusion and CNN.
%U http://dblp.uni-trier.de/db/journals/monet/monet26.html#TangTSZY21
%V 26
@article{journals/monet/TangTSZY21,
added-at = {2021-12-15T00:00:00.000+0100},
author = {Tang, Dan and Tang, Liu and Shi, Wei and Zhan, Sijia and Yang, Qiuwei},
biburl = {https://www.bibsonomy.org/bibtex/250fa2e300d6bdb3027c4a1e898489e30/dblp},
ee = {https://doi.org/10.1007/s11036-019-01506-1},
interhash = {8ab2331937e86b78c4771d0019d93fe5},
intrahash = {50fa2e300d6bdb3027c4a1e898489e30},
journal = {Mob. Networks Appl.},
keywords = {dblp},
number = 4,
pages = {1705-1722},
timestamp = {2024-04-09T01:00:57.000+0200},
title = {MF-CNN: a New Approach for LDoS Attack Detection Based on Multi-feature Fusion and CNN.},
url = {http://dblp.uni-trier.de/db/journals/monet/monet26.html#TangTSZY21},
volume = 26,
year = 2021
}