Anomaly Detection in Social-Aware IoT Networks

Author:

Tang Jine1ORCID,Qin Taishan1,Kong Deliang1,Zhou Zhangbing2ORCID,Li Xiaocui2ORCID,Wu Yongdong3,Gu Junhua4

Affiliation:

1. School of Artificial Intelligence, Hebei University of Technology, Tianjin, China

2. School of Information Engineering, China University of Geosciences, Beijing, China

3. School of Information Science and Technology, Jinan University, Guangzhou, China

4. School of Artificial Intelligence and the Hebei Province Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin, China

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Guangdong KeyR&D Plan2020

National KeyR&D Plan2020

Open Project Program of Tianjin Key Laboratory of Aerospace Intelligent Equipment Technology, Tianjin Institute of Aerospace Mechanical and Electrical Equipment

Supplementary Funds for Performance of Hebei Province Key Laboratory of Big Data Calculation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

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

1. Anomalous Node Detection in Socially-Aware Mobile IoT Networks Using Q-Learning;2024 International Conference on Signal Processing and Communications (SPCOM);2024-07-01

2. Evolution of Malware Targeting IoT Devices and Botnet formation;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

3. Transfer Learning for Real-Time Surface Defect Detection With Multi-Access Edge-Cloud Computing Networks;IEEE Transactions on Network and Service Management;2023

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