TY - GEN
T1 - DNS Tunneling Detection with New Patterns Emerging For Intelligent Agriculture
T2 - 10th IEEE Smart World Congress, SWC 2024
AU - Dong, Huijuan
AU - Zheng, Zengwei
AU - Zhang, Liang
AU - Nie, Feiping
AU - Wu, Jun
AU - Pei, Shenfei
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In Intelligent agriculture, securing data transmission is critical due to the vast amount of data generated by sensors. DNS tunneling poses a threat by exfiltrating data through DNS queries, a challenge for traditional classifiers, especially with 'unknown queries' not seen during training. This paper frames DNS tunneling detection as a machine learning problem involving Classification with New Patterns Emerging (CNPE). We introduce a forest-based classifier that identifies unknown patterns as a new class and accurately classifies known samples. Our model is efficient in both computation and memory. Experiments on live network data and public datasets validate its effectiveness, demonstrating its potential to enhance data security and system reliability in Intelligent agriculture.
AB - In Intelligent agriculture, securing data transmission is critical due to the vast amount of data generated by sensors. DNS tunneling poses a threat by exfiltrating data through DNS queries, a challenge for traditional classifiers, especially with 'unknown queries' not seen during training. This paper frames DNS tunneling detection as a machine learning problem involving Classification with New Patterns Emerging (CNPE). We introduce a forest-based classifier that identifies unknown patterns as a new class and accurately classifies known samples. Our model is efficient in both computation and memory. Experiments on live network data and public datasets validate its effectiveness, demonstrating its potential to enhance data security and system reliability in Intelligent agriculture.
KW - computer network security
KW - intelligent agriculture
KW - open set
KW - pattern classification
UR - http://www.scopus.com/inward/record.url?scp=105002246685&partnerID=8YFLogxK
U2 - 10.1109/SWC62898.2024.00254
DO - 10.1109/SWC62898.2024.00254
M3 - 会议稿件
AN - SCOPUS:105002246685
T3 - Proceedings - 2024 IEEE Smart World Congress, SWC 2024 - 2024 IEEE Ubiquitous Intelligence and Computing, Autonomous and Trusted Computing, Digital Twin, Metaverse, Privacy Computing and Data Security, Scalable Computing and Communications
SP - 1651
EP - 1656
BT - Proceedings - 2024 IEEE Smart World Congress, SWC 2024 - 2024 IEEE Ubiquitous Intelligence and Computing, Autonomous and Trusted Computing, Digital Twin, Metaverse, Privacy Computing and Data Security, Scalable Computing and Communications
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 2 December 2024 through 7 December 2024
ER -