{"title":"基于混合模糊的代码覆盖效率自动种子生成","authors":"Soonhong Kwon, Yangseo Choi, Jong‐Hyouk Lee","doi":"10.1145/3440943.3444744","DOIUrl":null,"url":null,"abstract":"Based on the 4th Industrial Revolution, numerous ICT technologies are developing, and for this reason, IoT devices are formed around us. Accordingly, hackers are inflicting financial and physical damage to our lives by using software vulnerabilities in IoT devices around us based on intelligent hacking technology. Automated security vulnerability response systems are required to respond to attacks through continuously occurring software vulnerabilities. In this paper, we analyze the hybrid fuzzing system that complements the technical limitations of the existing fuzzing technology as the base technology for an automated security vulnerability response system. In addition, we propose a hybrid fuzzing system based on an automatic seed generation mechanism for coverage efficiency in order to find vulnerabilities inherent in software quickly and efficiently.","PeriodicalId":310247,"journal":{"name":"Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic Seed Generation based Hybrid Fuzzing for Code Coverage Efficiency\",\"authors\":\"Soonhong Kwon, Yangseo Choi, Jong‐Hyouk Lee\",\"doi\":\"10.1145/3440943.3444744\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the 4th Industrial Revolution, numerous ICT technologies are developing, and for this reason, IoT devices are formed around us. Accordingly, hackers are inflicting financial and physical damage to our lives by using software vulnerabilities in IoT devices around us based on intelligent hacking technology. Automated security vulnerability response systems are required to respond to attacks through continuously occurring software vulnerabilities. In this paper, we analyze the hybrid fuzzing system that complements the technical limitations of the existing fuzzing technology as the base technology for an automated security vulnerability response system. In addition, we propose a hybrid fuzzing system based on an automatic seed generation mechanism for coverage efficiency in order to find vulnerabilities inherent in software quickly and efficiently.\",\"PeriodicalId\":310247,\"journal\":{\"name\":\"Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3440943.3444744\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3440943.3444744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic Seed Generation based Hybrid Fuzzing for Code Coverage Efficiency
Based on the 4th Industrial Revolution, numerous ICT technologies are developing, and for this reason, IoT devices are formed around us. Accordingly, hackers are inflicting financial and physical damage to our lives by using software vulnerabilities in IoT devices around us based on intelligent hacking technology. Automated security vulnerability response systems are required to respond to attacks through continuously occurring software vulnerabilities. In this paper, we analyze the hybrid fuzzing system that complements the technical limitations of the existing fuzzing technology as the base technology for an automated security vulnerability response system. In addition, we propose a hybrid fuzzing system based on an automatic seed generation mechanism for coverage efficiency in order to find vulnerabilities inherent in software quickly and efficiently.
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