Online Intrusion Detection for Internet of Things Systems With Full Bayesian Possibilistic Clustering and Ensembled Fuzzy Classifiers-Reference-Cited by-同舟云学术

Online Intrusion Detection for Internet of Things Systems With Full Bayesian Possibilistic Clustering and Ensembled Fuzzy Classifiers

Author:

Li Fang-Qi¹^ORCID,Zhao Rui-Jie¹^ORCID,Wang Shi-Lin¹^ORCID,Chen Li-Bo¹^ORCID,Liew Alan Wee-Chung²^ORCID,Ding Weiping³^ORCID

Affiliation:

1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

2. School of Information and Communication Technology, Griffth University, Gold Coast, QLD, Australia

3. School of Information Science and Technology, Nantong University, Nantong, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Natural Science Key Foundation of Jiangsu Education Department

Qing Lan Project of Jiangsu Province

Science and Technology Commission of Shanghai Municipality

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Link

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