Xu Xu, Yangyu Hu, Qian Guo, Ren He, Li Li, Guoai Xu, Zhihui Han, Haoyu Wang
{"title":"剖析手机付费广告:一项探索性研究","authors":"Xu Xu, Yangyu Hu, Qian Guo, Ren He, Li Li, Guoai Xu, Zhihui Han, Haoyu Wang","doi":"10.1109/QRS51102.2020.00072","DOIUrl":null,"url":null,"abstract":"Mobile advertising has become the most popular monetizing way in the Android app ecosystem. Offerwall, as a new form of mobile ads, has been widely adopted by apps, and a number of ad networks have provided such services. Although new to the ecosystem, offerwall ads have been criticized for being aggressive, and the contents disseminated are prone to security issues. However, to date, our community has not proposed any studies to dissect such issues related to offerwall ads. To this end, we present the first work to fill this gap. Specifically, we first develop a robust approach to identify apps that have embedded with offerwall ads. Then, we apply the tool to 10K apps and experimentally discover 312 offerwall apps. We go one step further to characterize them from several aspects, including security issues. Our observation reveals that offerwall ads could indeed be manipulated by hackers to fulfill malicious purposes.","PeriodicalId":301814,"journal":{"name":"2020 IEEE 20th International Conference on Software Quality, Reliability and Security (QRS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Dissecting Mobile Offerwall Advertisements: An Explorative Study\",\"authors\":\"Xu Xu, Yangyu Hu, Qian Guo, Ren He, Li Li, Guoai Xu, Zhihui Han, Haoyu Wang\",\"doi\":\"10.1109/QRS51102.2020.00072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile advertising has become the most popular monetizing way in the Android app ecosystem. Offerwall, as a new form of mobile ads, has been widely adopted by apps, and a number of ad networks have provided such services. Although new to the ecosystem, offerwall ads have been criticized for being aggressive, and the contents disseminated are prone to security issues. However, to date, our community has not proposed any studies to dissect such issues related to offerwall ads. To this end, we present the first work to fill this gap. Specifically, we first develop a robust approach to identify apps that have embedded with offerwall ads. Then, we apply the tool to 10K apps and experimentally discover 312 offerwall apps. We go one step further to characterize them from several aspects, including security issues. Our observation reveals that offerwall ads could indeed be manipulated by hackers to fulfill malicious purposes.\",\"PeriodicalId\":301814,\"journal\":{\"name\":\"2020 IEEE 20th International Conference on Software Quality, Reliability and Security (QRS)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 20th International Conference on Software Quality, Reliability and Security (QRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/QRS51102.2020.00072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 20th International Conference on Software Quality, Reliability and Security (QRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QRS51102.2020.00072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dissecting Mobile Offerwall Advertisements: An Explorative Study
Mobile advertising has become the most popular monetizing way in the Android app ecosystem. Offerwall, as a new form of mobile ads, has been widely adopted by apps, and a number of ad networks have provided such services. Although new to the ecosystem, offerwall ads have been criticized for being aggressive, and the contents disseminated are prone to security issues. However, to date, our community has not proposed any studies to dissect such issues related to offerwall ads. To this end, we present the first work to fill this gap. Specifically, we first develop a robust approach to identify apps that have embedded with offerwall ads. Then, we apply the tool to 10K apps and experimentally discover 312 offerwall apps. We go one step further to characterize them from several aspects, including security issues. Our observation reveals that offerwall ads could indeed be manipulated by hackers to fulfill malicious purposes.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
