{"title":"混淆二进制程序中数据类型的重建","authors":"W. Ding, ZhiMin Gu, Feng Gao","doi":"10.1109/ICACT.2014.6778988","DOIUrl":null,"url":null,"abstract":"Recently, research community has advanced in type reconstruction technology for reverse engineering, but emerging with obfuscate technology, data type reconstruction is difficult and obfuscated code is easier to be monitored and analyzed by attacker or hacker. Therefore, we present a novel approach for automatic establish data type inference rules and reconstruct type from obfuscated binary programs using machine learning algorithm.","PeriodicalId":6380,"journal":{"name":"16th International Conference on Advanced Communication Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Reconstruction of data type in obfuscated binary programs\",\"authors\":\"W. Ding, ZhiMin Gu, Feng Gao\",\"doi\":\"10.1109/ICACT.2014.6778988\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, research community has advanced in type reconstruction technology for reverse engineering, but emerging with obfuscate technology, data type reconstruction is difficult and obfuscated code is easier to be monitored and analyzed by attacker or hacker. Therefore, we present a novel approach for automatic establish data type inference rules and reconstruct type from obfuscated binary programs using machine learning algorithm.\",\"PeriodicalId\":6380,\"journal\":{\"name\":\"16th International Conference on Advanced Communication Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"16th International Conference on Advanced Communication Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACT.2014.6778988\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"16th International Conference on Advanced Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACT.2014.6778988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reconstruction of data type in obfuscated binary programs
Recently, research community has advanced in type reconstruction technology for reverse engineering, but emerging with obfuscate technology, data type reconstruction is difficult and obfuscated code is easier to be monitored and analyzed by attacker or hacker. Therefore, we present a novel approach for automatic establish data type inference rules and reconstruct type from obfuscated binary programs using machine learning algorithm.
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