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Blockchain anomaly transaction detection based on XGBoost and random forests

  • 【作者】Zhao, Peng,Wang, Wenjian,Wu, Di,Zhang, Hong
  • 【刊名】Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/Journal of Nanjing University of Posts and Telecommunications (Natural Science)
  • 【作者单位】aCollege of Computer Science and Technology, Taiyuan Normal University, Jinzhong, 030619, China;bSchool of Computer and Information Technology, Shanxi University, Taiyuan, 030006, China;cSchool of Computer Science and Technology, Dalian University of Technology, Dalian, 116081, China
  • 【年份】2025
  • 【卷号】Vol.45 No.1
  • 【页码】115-122
  • 【ISSN】1673-5439
  • 【关键词】Bitcoin transactions blockchain anomaly transaction detection random forest XGBoost 
  • 【摘要】 The escalating occurrences of events such as hacking attacks,phishing,and ransomware have propelled blockchain anomaly transaction detection into a focal point of contemporary research. XGBoost,characterized as a machine learning algorithm based on g...
  • 【文献类型】 期刊
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