Xinda Hao1, Jianmin Zhou2,*, Xueqi Shen1, Yu Yang1
Journal of Quantum Computing, Vol.2, No.2, pp. 97-104, 2020, DOI:10.32604/jqc.2020.010819
Abstract In recent years, machine learning technology has been widely used for
timely network attack detection and classification. However, due to the large
number of network traffic and the complex and variable nature of malicious
attacks, many challenges have arisen in the field of network intrusion detection.
Aiming at the problem that massive and high-dimensional data in cloud
computing networks will have a negative impact on anomaly detection, this
paper proposes a Bi-LSTM method based on attention mechanism, which learns
by transmitting IDS data to multiple hidden layers. Abstract information and
high-dimensional feature representation in network data messages are used to… More >
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