Payment-Guard: Detecting fraudulent in-app purchases in iOS system
Payment-Guard: Detecting fraudulent in-app purchases in iOS system
复制标题
Payment-Guard:检测iOS系统中的欺诈性应用内购买
DOI:
10.1016/j.neucom.2020.10.007
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发表时间:
2021
期刊:
影响因子:
6
通讯作者:
Chao Shen
中科院分区:
文献类型:
--
作者:
Yadong Zhou;Tianyi Yue;Xiaoming Liu;Lingling Tong;Zhihao Ding;Chao Shen
As a successful business model, “in-app purchase” has been adopted by massive applications (Apps) gradually. Users can purchase various virtual goods in different kinds of Apps, such as the license to download movies or songs. In-app purchase helps App operators gain huge income, and meanwhile provides users with flexibility in using Apps. Recently, iOS Apps have suffered the attack of fraudulent purchase. Attackers leverage the vulnerabilities in iOS payment system to purchase virtual goods at zero or low cost. More seriously, unscrupulous attackers solicit customers publicly and provide purchasing services, which has caused huge financial loss to business entities. It becomes of great importance to detect the fraudulent in-app purchases in iOS Apps, and then take measures such as confiscating goods to minimize profit loss. In this paper, we propose a system called Payment-Guard to achieve this objective, which designs various features to characterize a purchase from four perspectives including App account behavior, device behavior, IP behavior and union behavior of (App account, device, IP), then conducts detection based on the features. We perform comprehensive experiments based on data collected from “Honor of Kings” App, which is one of the most famous MOBA games in China and allows players to recharge App accounts for virtual currency. Experimental results demonstrated that Payment-Guard can detect 92.2% malicious in-app purchases and with only 2% false positive rate.
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DOI:
10.1016/j.procs.2015.04.201
发表时间:
2015
期刊:
Procedia Computer Science
影响因子:
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作者:
Masoumeh Zareapoor;Pourya Shamsolmoali
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DOI:
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DOI:
10.1080/00031305.2014.917055
发表时间:
2014
期刊:
The American statistician
影响因子:
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作者:
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通讯作者:
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影响因子:
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作者:
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da Silva, Ivan Nunes