{"title":"人工智能辅助恶意软件分析","authors":"Mahmoud Abdelsalam, Maanak Gupta, Sudip Mittal","doi":"10.1145/3445969.3450433","DOIUrl":null,"url":null,"abstract":"This tutorial provides a review of the state-of-the-art research and the applications of Artificial Intelligence and Machine Learning for malware analysis. We will provide an overview, background and results with respect to the three main malware analysis approaches: static malware analysis, dynamic malware analysis and online malware analysis. Further, we will provide a simplified hands-on tutorial of applying ML algorithm for dynamic malware analysis in cloud IaaS.","PeriodicalId":103324,"journal":{"name":"Proceedings of the 2021 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Artificial Intelligence Assisted Malware Analysis\",\"authors\":\"Mahmoud Abdelsalam, Maanak Gupta, Sudip Mittal\",\"doi\":\"10.1145/3445969.3450433\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This tutorial provides a review of the state-of-the-art research and the applications of Artificial Intelligence and Machine Learning for malware analysis. We will provide an overview, background and results with respect to the three main malware analysis approaches: static malware analysis, dynamic malware analysis and online malware analysis. Further, we will provide a simplified hands-on tutorial of applying ML algorithm for dynamic malware analysis in cloud IaaS.\",\"PeriodicalId\":103324,\"journal\":{\"name\":\"Proceedings of the 2021 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3445969.3450433\",\"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 2021 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3445969.3450433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This tutorial provides a review of the state-of-the-art research and the applications of Artificial Intelligence and Machine Learning for malware analysis. We will provide an overview, background and results with respect to the three main malware analysis approaches: static malware analysis, dynamic malware analysis and online malware analysis. Further, we will provide a simplified hands-on tutorial of applying ML algorithm for dynamic malware analysis in cloud IaaS.