Intrusion detection model based on non-symmetric convolution auto-encode and support vector machine

Intrusion detection model based on non-symmetric convolution auto-encode and support vector machine

Network intrusion detection system plays an important role in protecting network security.With the continuous development of science and technology,the current intrusion technology cannot cope with the modern complex and volatile network abnormal traffic,without taking into account the scalability,s...

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Bibliographic Details
Main Authors: Jialin WANG, Jiqiang LIU, Di ZHAO, Yingdi WANG, Yingxiao XIANG, Tong CHEN, Endong TONG, Wenjia NIU
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2018-11-01
Series:网络与信息安全学报
Subjects:
intrusion detection technology
convolutional auto-encoder
support vector machine
network security
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018086
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