Semisupervised Federated-Learning-Based Intrusion Detection Method for Internet of Things-Reference-Cited by-同舟云学术

Semisupervised Federated-Learning-Based Intrusion Detection Method for Internet of Things

Author:

Zhao Ruijie¹^ORCID,Wang Yijun¹^ORCID,Xue Zhi¹,Ohtsuki Tomoaki²^ORCID,Adebisi Bamidele³^ORCID,Gui Guan⁴^ORCID

Affiliation:

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

2. Department of Information and Computer Science, Keio University, Yokohama, Japan

3. Department of Engineering, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, U.K.

4. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

Funder

Cyber Security from the National Key Research and Development Program of Shanghai Jiao Tong University

Japan Society for the Promotion of Science (JSPS) KAKENHI

Summit of the Six Top Talents Program of Jiangsu

Project of the Key Laboratory of Universal Wireless Communications (BUPT) of Ministry of Education of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference39 articles.

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