
Detection and Recognition of Abnormal Data Caused by Network Intrusion Using Deep Learning
Author(s) -
Yan Jian,
Xiaoyang Dong,
Junbin Liang
Publication year - 2021
Publication title -
informatica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 34
eISSN - 1854-3871
pISSN - 0350-5596
DOI - 10.31449/inf.v45i3.3639
Subject(s) - extreme learning machine , autoencoder , constant false alarm rate , computer science , data set , artificial intelligence , pattern recognition (psychology) , intrusion detection system , support vector machine , set (abstract data type) , deep learning , artificial neural network , programming language