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Published in 2020 at "Digital Communications and Networks"
DOI: 10.1016/j.dcan.2020.06.001
Abstract: Abstract A substantial body of work has been done to identify network anomalies using supervised and unsupervised learning techniques with their unique strengths and weaknesses. In this work, we propose a new approach that takes…
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Keywords:
network;
clustering based;
estimated labels;
network anomaly ... See more keywords