TY - GEN
T1 - Current Problems and Solutions of Industrial Control Network Intrusion Detection
T2 - 2022 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2022
AU - Jiang, Tianyu
AU - Zhang, Chen
AU - Wang, Rui
AU - Chai, Senchun
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - With the advancement of industrial intelligence, the Industrial Internet has been widely used in energy, manufacturing and other important industries. In recent years, security incidents have occurred frequently in industrial control network, which means that maintaining industrial control network security has become more and more important. Intrusion detection technology can actively detect abnormal behavior in the network, and is an important means to ensure the security of industrial control networks. Presently, the intrusion detection technology of industrial control network has problems such as extreme imbalance of classes and redundant interference of traffic characteristics. This paper analyzes these problems and clarifies the existing solutions for different problems in principle.
AB - With the advancement of industrial intelligence, the Industrial Internet has been widely used in energy, manufacturing and other important industries. In recent years, security incidents have occurred frequently in industrial control network, which means that maintaining industrial control network security has become more and more important. Intrusion detection technology can actively detect abnormal behavior in the network, and is an important means to ensure the security of industrial control networks. Presently, the intrusion detection technology of industrial control network has problems such as extreme imbalance of classes and redundant interference of traffic characteristics. This paper analyzes these problems and clarifies the existing solutions for different problems in principle.
UR - http://www.scopus.com/inward/record.url?scp=85138687215&partnerID=8YFLogxK
U2 - 10.1109/RCAR54675.2022.9872247
DO - 10.1109/RCAR54675.2022.9872247
M3 - Conference contribution
AN - SCOPUS:85138687215
T3 - 2022 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2022
SP - 687
EP - 692
BT - 2022 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 July 2022 through 22 July 2022
ER -