Detecting compromised accounts caused by phone number recycling on e-commerce platforms: taking Meituan as an example
Regular Papers|Updated:2024-09-03
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Detecting compromised accounts caused by phone number recycling on e-commerce platforms: taking Meituan as an example
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“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 EngineeringVol. 25, Issue 8, Pages: 1077-1095(2024)
Affiliations:
1.School of Computer Science, Fudan University, Shanghai 200438, China
2.Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai 200438, China
3.Meituan, Beijing 100005, China
4.Department of Interactive Media, Hong Kong Baptist University, Hong Kong 999077, China
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:
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.
Detecting compromised accounts caused by phone number recycling on e-commerce platforms: taking Meituan as an exampleEnhanced Publication