Enhanced Communication Behavior Recognition in Small Sample Contexts via MultiCenter Domain Adaptation(MCDA)OA
Enhanced Communication Behavior Recognition in Small Sample Contexts via MultiCenter Domain Adaptation(MCDA)
Guolin Shao;Yi Lu;Hong Rao;Xuemei Zeng;Xingshu Chen
School of Software,Nanchang University,Nanchang 330031,ChinaSchool of Software,Nanchang University,Nanchang 330031,ChinaSchool of Software,Nanchang University,Nanchang 330031,ChinaCybersecurity Research Institute,Sichuan University,Chengdu 610065,ChinaSchool of Cyber Science and Engineering,Sichuan University,Chengdu 610065,China
deep learningdomain adaptationAdvanced Persistent Threat(APT)communication detectionSmall Sample Size(3S)problem
deep learningdomain adaptationAdvanced Persistent Threat(APT)communication detectionSmall Sample Size(3S)problem
《清华大学学报自然科学版（英文版）》 2026 (5)
2337-2352,16
This work was supported by the National Natural Science Foundation of China(Nos.62362049 and 62402205),the Natural Science Foundation of Jiangxi Province of China(Nos.20232BAB212009 and 20242BAB25065),the Key Laboratory of Data Protection and Intelligent Management of Ministry of Education,Sichuan University(No.SCUSAKFKT202307Y),the Jiangxi Provincial Key Laboratory of Data Security Technology(No.2024SSY03181),and the Finance Science and Technology Special"Contract System"Project of Jiangxi Province(No.ZBG20230418014).
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