Transfer learning for detecting unknown network attacks

Transfer learning for detecting unknown network attacks

Abstract Network attacks are serious concerns in today’s increasingly interconnected society. Recent studies have applied conventional machine learning to network attack detection by learning the patterns of the network behaviors and training a classification model. These models usually require larg...

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Bibliographic Details
Main Authors: Juan Zhao, Sachin Shetty, Jan Wei Pan, Charles Kamhoua, Kevin Kwiat
Format: Article
Language:English
Published: SpringerOpen 2019-02-01
Series:EURASIP Journal on Information Security
Subjects:
Network attacks detection
Machine learning
Transfer learning
Online Access:http://link.springer.com/article/10.1186/s13635-019-0084-4

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