ADTCD: An Adaptive Anomaly Detection Approach Toward Concept Drift in IoT-Reference-Cited by-同舟云学术

ADTCD: An Adaptive Anomaly Detection Approach Toward Concept Drift in IoT

Published:2023-09-15 Issue:18 Volume:10 Page:15931-15942
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Xu Lijuan¹^ORCID,Ding Xiao¹,Peng Haipeng²^ORCID,Zhao Dawei¹^ORCID,Li Xin¹

Affiliation:

1. Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

2. Information Security Center, State Key Laboratory of Networking and Switching Technology and the National Engineering Laboratory for Disaster Backup and Recovery, Beijing University of Posts and Telecommunications, Beijing, China

Funder

Natural Science Foundation of Shandong Province

National Natural Science Foundation of China

National Major Program for Technological Innovation 2030-New Generation Artifical Intelligence

Innovation Ability Pormotion Project for Small and Medium-Sized Technology-Based Enterprise of Shandong Province

Pilot Project for Integrated Innovation of Science, Education and Industry of Qilu University of Technology

Taishan Scholars Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6488907/10242177/10097858.pdf?arnumber=10097858

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