H. Shahriar, K. Qian, Md Arabin Islam Talukder, D. Lo, Nidhibahen Patel
{"title":"Mobile Software Security with Dynamic Analysis","authors":"H. Shahriar, K. Qian, Md Arabin Islam Talukder, D. Lo, Nidhibahen Patel","doi":"10.1109/PRDC.2018.00039","DOIUrl":null,"url":null,"abstract":"The majority of malicious mobile attacks take advantage of vulnerabilities in mobile software (applications), such as sensitive data leakage, unsecured sensitive data storage, data transmission, and many others. Most of these vulnerabilities can be detected by analyzing the mobile software. In this paper, we describe a tainted dataflow approach to detect mobile software security vulnerability, particularly, SQL Injection.","PeriodicalId":409301,"journal":{"name":"2018 IEEE 23rd Pacific Rim International Symposium on Dependable Computing (PRDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 23rd Pacific Rim International Symposium on Dependable Computing (PRDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRDC.2018.00039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The majority of malicious mobile attacks take advantage of vulnerabilities in mobile software (applications), such as sensitive data leakage, unsecured sensitive data storage, data transmission, and many others. Most of these vulnerabilities can be detected by analyzing the mobile software. In this paper, we describe a tainted dataflow approach to detect mobile software security vulnerability, particularly, SQL Injection.