ADCL: Toward an Adaptive Network Intrusion Detection System Using Collaborative Learning in IoT Networks-Reference-Cited by-同舟云学术

ADCL: Toward an Adaptive Network Intrusion Detection System Using Collaborative Learning in IoT Networks

Author:

Ma Zuchao¹^ORCID,Liu Liang¹^ORCID,Meng Weizhi²^ORCID,Luo Xiapu³^ORCID,Wang Lisong¹^ORCID,Li Wenjuan⁴^ORCID

Affiliation:

1. Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Department of Applied Mathematics and Computer Science, Technical University of Denmark, Copenhagen, Denmark

3. Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

4. Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Funder

National Key Research and Development Program of China

Open Fund of Key Laboratory of Civil Aviation Smart Airport Theory and System, Civil Aviation University of China

National Natural Science Foundation of China

Public Service Platform for Basic Software and Hardware Supply Chain Guarantee

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference57 articles.

2. Charaterization of Tor traffic using time based features;lashkari;ICIS Proceedings,2017

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献