Sergio de los Santos, Antonio Guzmán, Chema Alonso, Francisco Gomez-Rodriguez
{"title":"在应用商店里追逐说邦","authors":"Sergio de los Santos, Antonio Guzmán, Chema Alonso, Francisco Gomez-Rodriguez","doi":"10.1109/ECRIME.2015.7120796","DOIUrl":null,"url":null,"abstract":"There are well-known attack techniques that threaten current apps stores. However, the complexity of these environments and their high rate of variability have prevented any effective analysis aimed at mitigating the effects of these threats. In this paper, the analysis performed over one of these techniques, Shuabang, is introduced. The completion of this analysis has been supported by a new tool that facilitates the correlation of large amounts of information from different apps stores.","PeriodicalId":127631,"journal":{"name":"2015 APWG Symposium on Electronic Crime Research (eCrime)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Chasing shuabang in apps stores\",\"authors\":\"Sergio de los Santos, Antonio Guzmán, Chema Alonso, Francisco Gomez-Rodriguez\",\"doi\":\"10.1109/ECRIME.2015.7120796\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are well-known attack techniques that threaten current apps stores. However, the complexity of these environments and their high rate of variability have prevented any effective analysis aimed at mitigating the effects of these threats. In this paper, the analysis performed over one of these techniques, Shuabang, is introduced. The completion of this analysis has been supported by a new tool that facilitates the correlation of large amounts of information from different apps stores.\",\"PeriodicalId\":127631,\"journal\":{\"name\":\"2015 APWG Symposium on Electronic Crime Research (eCrime)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 APWG Symposium on Electronic Crime Research (eCrime)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECRIME.2015.7120796\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 APWG Symposium on Electronic Crime Research (eCrime)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECRIME.2015.7120796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
There are well-known attack techniques that threaten current apps stores. However, the complexity of these environments and their high rate of variability have prevented any effective analysis aimed at mitigating the effects of these threats. In this paper, the analysis performed over one of these techniques, Shuabang, is introduced. The completion of this analysis has been supported by a new tool that facilitates the correlation of large amounts of information from different apps stores.
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