{"title":"PE类型恶意软件导入api统计研究","authors":"Mohamed Belaoued, S. Mazouzi","doi":"10.1109/INDS.2014.22","DOIUrl":null,"url":null,"abstract":"In this paper we introduce a statistical study which enable us to know which are Windows APIs that are most imported by malware codes. To do that, we have used a given number of infected Portable Executable (PE) files and another number of none infected ones. We used statistical Khi2 test to set if an API is likely used by malware or not. We guess that a given work is necessary and important for behavior-based malware detection, especially which use API importations to analyze PE codes. For experimentation purpose, we have used a large set of PE files extracted from known databases to perform our analysis and establish our conclusions.","PeriodicalId":388358,"journal":{"name":"2014 International Conference on Advanced Networking Distributed Systems and Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Statistical Study of Imported APIs by PE Type Malware\",\"authors\":\"Mohamed Belaoued, S. Mazouzi\",\"doi\":\"10.1109/INDS.2014.22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we introduce a statistical study which enable us to know which are Windows APIs that are most imported by malware codes. To do that, we have used a given number of infected Portable Executable (PE) files and another number of none infected ones. We used statistical Khi2 test to set if an API is likely used by malware or not. We guess that a given work is necessary and important for behavior-based malware detection, especially which use API importations to analyze PE codes. For experimentation purpose, we have used a large set of PE files extracted from known databases to perform our analysis and establish our conclusions.\",\"PeriodicalId\":388358,\"journal\":{\"name\":\"2014 International Conference on Advanced Networking Distributed Systems and Applications\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Advanced Networking Distributed Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDS.2014.22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Advanced Networking Distributed Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDS.2014.22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical Study of Imported APIs by PE Type Malware
In this paper we introduce a statistical study which enable us to know which are Windows APIs that are most imported by malware codes. To do that, we have used a given number of infected Portable Executable (PE) files and another number of none infected ones. We used statistical Khi2 test to set if an API is likely used by malware or not. We guess that a given work is necessary and important for behavior-based malware detection, especially which use API importations to analyze PE codes. For experimentation purpose, we have used a large set of PE files extracted from known databases to perform our analysis and establish our conclusions.