Detecting compromised accounts caused by phone number recycling on e-commerce platforms: taking Meituan as an example  

作　　者：Min GAO Shutong CHEN Yangbo GAO Zhenhua ZHANG Yu CHEN Yupeng LI Qiongzan YE Xin WANG Yang CHEN 

机构地区：[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

出　　处：《Frontiers of Information Technology & Electronic Engineering》2024年第8期1077-1095,共19页信息与电子工程前沿（英文版）

基　　金：supported by the National Natural Science Foundation of China(Nos.62072115,62202402,61971145,and 61602122);the Shanghai Science and Technology Innovation Action Plan Project(No.22510713600);the Guangdong Basic and Applied Basic Research Foundation,China(Nos.2022A1515011583 and 2023A1515011562);the One-off Tier 2 Start-up Grant(2020/2021)of Hong Kong Baptist University(Ref.RCOFSGT2/20-21/COMM/002);Startup Grant(Tier 1)for New Academics AY2020/21 of Hong Kong Baptist University and Germany/Hong Kong Joint Research Scheme sponsored by the Research Grants Council of Hong Kong,China,the German Academic Exchange Service of Germany(No.G-HKBU203/22),and Meituan。

摘　　要：Phone number recycling(PNR)refers to the event wherein a mobile operator collects a disconnected number and reassigns it to a new owner.It has posed a threat to the reliability of the existing authentication solution for e-commerce platforms.Specifically,a new owner of a reassigned number can access the application account with which the number is associated,and may perform fraudulent activities.Existing solutions that employ a reassigned number database from mobile operators are costly for e-commerce platforms with large-scale users.Thus,alternative solutions that depend on only the information of the applications are imperative.In this work,we study the problem of detecting accounts that have been compromised owing to the reassignment of phone numbers.Our analysis on Meituan's real-world dataset shows that compromised accounts have unique statistical features and temporal patterns.Based on the observations,we propose a novel model called temporal pattern and statistical feature fusion model(TSF)to tackle the problem,which integrates a temporal pattern encoder and a statistical feature encoder to capture behavioral evolutionary interaction and significant operation features.Extensive experiments on the Meituan and IEEE-CIS datasets show that TSF significantly outperforms the baselines,demonstrating its effectiveness in detecting compromised accounts due to reassigned numbers.

关 键 词：Phone number recycling Neural networks E-COMMERCE Compromised account detection 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]