{"title":"当代Android手机漏洞市场的实证分析","authors":"Keman Huang, Jia Zhang, Wei Tan, Zhiyong Feng","doi":"10.1109/MobServ.2015.34","DOIUrl":null,"url":null,"abstract":"The increasing popularity and rapid growth of the mobile ecosystem have been changing people's daily life. The vulnerabilities of mobiles resulting from the inherent vulnerable characteristic of software products, however, can be exploited, causing substantial economic loss or privacy leakage. This paper introduces an information metadata model, comprising a life cycle model and a heterogeneous network model, to investigate the evolving patterns of vulnerabilities in the current Android Mobile Vulnerability Market (AMVM). The test bed collects data from a variety of vulnerability datasets, comprising 19,711 vulnerable records. An empirical study is conducted to trace the evolution process of vulnerabilities in the AMVM. The network analysis method has opened a new way of studying mobile vulnerability market, in order to improve the security situation in the Android ecosystem.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"An Empirical Analysis of Contemporary Android Mobile Vulnerability Market\",\"authors\":\"Keman Huang, Jia Zhang, Wei Tan, Zhiyong Feng\",\"doi\":\"10.1109/MobServ.2015.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increasing popularity and rapid growth of the mobile ecosystem have been changing people's daily life. The vulnerabilities of mobiles resulting from the inherent vulnerable characteristic of software products, however, can be exploited, causing substantial economic loss or privacy leakage. This paper introduces an information metadata model, comprising a life cycle model and a heterogeneous network model, to investigate the evolving patterns of vulnerabilities in the current Android Mobile Vulnerability Market (AMVM). The test bed collects data from a variety of vulnerability datasets, comprising 19,711 vulnerable records. An empirical study is conducted to trace the evolution process of vulnerabilities in the AMVM. The network analysis method has opened a new way of studying mobile vulnerability market, in order to improve the security situation in the Android ecosystem.\",\"PeriodicalId\":166267,\"journal\":{\"name\":\"2015 IEEE International Conference on Mobile Services\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Mobile Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MobServ.2015.34\",\"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 IEEE International Conference on Mobile Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MobServ.2015.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Empirical Analysis of Contemporary Android Mobile Vulnerability Market
The increasing popularity and rapid growth of the mobile ecosystem have been changing people's daily life. The vulnerabilities of mobiles resulting from the inherent vulnerable characteristic of software products, however, can be exploited, causing substantial economic loss or privacy leakage. This paper introduces an information metadata model, comprising a life cycle model and a heterogeneous network model, to investigate the evolving patterns of vulnerabilities in the current Android Mobile Vulnerability Market (AMVM). The test bed collects data from a variety of vulnerability datasets, comprising 19,711 vulnerable records. An empirical study is conducted to trace the evolution process of vulnerabilities in the AMVM. The network analysis method has opened a new way of studying mobile vulnerability market, in order to improve the security situation in the Android ecosystem.