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Detecting compromised accounts caused by phone number recycling on e-commerce platforms: taking Meituan as an example
Regular Papers | Updated:2024-09-03
    • Detecting compromised accounts caused by phone number recycling on e-commerce platforms: taking Meituan as an example

    • 电子商务平台“二次放号”被盗账号检测研究:以美团为例
    • In the realm of cybersecurity, phone number recycling (PNR) has emerged as a significant vulnerability for e-commerce platforms. A novel model, the temporal pattern and statistical feature fusion model (TSF), has been developed to detect compromised accounts due to reassigned numbers. This model leverages unique statistical features and temporal patterns observed in real-world datasets, such as Meituan's, to effectively identify and mitigate fraudulent activities. The TSF model has demonstrated superior performance over existing baselines, offering a cost-effective solution for e-commerce platforms with large-scale users.
    • Frontiers of Information Technology & Electronic Engineering   Vol. 25, Issue 8, Pages: 1077-1095(2024)
    • DOI:10.1631/FITEE.2300291    

      CLC: TP391
    • Received:26 April 2023

      Accepted:18 October 2023

      Published:2024-08

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  • Min GAO, Shutong CHEN, Yangbo GAO, et al. Detecting compromised accounts caused by phone number recycling on e-commerce platforms: taking Meituan as an example[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(8): 1077-1095. DOI: 10.1631/FITEE.2300291.

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