ANID-SEoKELM: Adaptive network intrusion detection based on selective ensemble of kernel ELMs with random features-Reference-Cited by-同舟云学术

ANID-SEoKELM: Adaptive network intrusion detection based on selective ensemble of kernel ELMs with random features

Author:

Liu Jinping,He Jiezhou,Zhang Wuxia,Ma Tianyu,Tang Zhaohui,Niyoyita Jean Paul,Gui Weihua

Funder

national natural science foundation of China

Hunan natural science foundation

key laboratory of Ministry of Education for image processing and intelligence control

postgraduate student research and innovation projects of Hunan Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference39 articles.

4. Survey on SDN based network intrusion detection system using machine learning approaches;Sultana;Peer-to-Peer Netw. Appl.,2018

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