Anomaly Detection in Blockchain Networks: A Comprehensive Survey

【Author】 Ul Hassan, Muneeb; Rehmani, Mubashir Husain; Chen, Jinjun

【Source】IEEE COMMUNICATIONS SURVEYS AND TUTORIALS

【影响因子】33.840

【Abstract】Over the past decade, blockchain technology has attracted a huge attention from both industry and academia because it can be integrated with a large number of everyday applications of modern information and communication technologies (ICT). Peer-to-peer (P2P) architecture of blockchain enhances these applications by providing strong security and trust-oriented guarantees, such as immutability, verifiability, and decentralization. Despite these incredible features that blockchain technology brings to these ICT applications, recent research has indicated that the strong guarantees are not sufficient enough and blockchain networks may still be prone to various security, privacy, and reliability issues. In order to overcome these issues, it is important to identify the anomalous behaviour within the actionable time frame. In this article, we provide an in-depth survey regarding integration of anomaly detection models in blockchain technology. For this, we first discuss how anomaly detection can aid in ensuring security of blockchain based applications. Then, we demonstrate certain fundamental evaluation metrics and key requirements that can play a critical role while developing anomaly detection models for blockchain. Afterwards, we present a thorough survey of various anomaly detection models from the perspective of each layer of blockchain. Finally, we conclude the article by highlighting certain important challenges alongside discussing how they can serve as future research directions for new researchers in the field.

【Keywords】Blockchain; anomaly detection; fraud detection

【发表时间】2023 JAN-MAR

【收录时间】2023-08-01

【文献类型】综述

【主题类别】

区块链治理-技术治理-异常检测