Decentralized applications (DApps) refer to open-source applications that utilize blockchain technology. DApps of Transportation (DoT), as an important application of blockchain-based Intelligent Transportation Systems (ITS), is a new focus for current research. The survival analysis and activeness analysis of DoT are common life cycle analysis methods to give an overall understanding of the development of DoT, while the abnormal transactions analysis and token analysis help to discover possible problems in transactions of DoT. This paper conducts an anomaly analysis of DoT from four aspects: survival, activeness, abnormal transactions, and tokens. The survival, activeness, and abnormal transaction analysis are based on the graph, which provides analyzers with intuitive visualizations to discover problems. Specifically, we propose a framework in which a graph of DoT transaction network is constructed and an efficient algorithm is adopted to detect abnormal patterns in the graph. Additionally, the token analysis is done to find the problematic tokens of DoT and provide correction suggestions to developers. Our work presents exquisite visualizations as well as solid analysis for DoT market. The results show our methods can locate abnormal transactions and tokens that deviate from standards.

Yajing Wang, Zongwei Luo. Anomaly Analysis of Blockchain-based Decentralized Applications of Transportation. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 3: 1-10. https://doi.org/10.25236/AJCIS.2023.060301.

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