{"title":"FNF:基于flow-net的指纹识别","authors":"Bo Fu, Yang Xiao, Hui Chen","doi":"10.1145/3063955.3063986","DOIUrl":null,"url":null,"abstract":"Logging is important since it lets us know what happened or are happening in any systems or networks. Our early work proposed a superior logging mechanism called flow-net. In this paper, we apply the flow-net method to fingerprinting, called flow-net based fingerprinting (FNF), to match and identify malicious behaviours. Evaluation results from experiments demonstrate good performance.","PeriodicalId":340447,"journal":{"name":"Proceedings of the ACM Turing 50th Celebration Conference - China","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"FNF: flow-net based fingerprinting\",\"authors\":\"Bo Fu, Yang Xiao, Hui Chen\",\"doi\":\"10.1145/3063955.3063986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Logging is important since it lets us know what happened or are happening in any systems or networks. Our early work proposed a superior logging mechanism called flow-net. In this paper, we apply the flow-net method to fingerprinting, called flow-net based fingerprinting (FNF), to match and identify malicious behaviours. Evaluation results from experiments demonstrate good performance.\",\"PeriodicalId\":340447,\"journal\":{\"name\":\"Proceedings of the ACM Turing 50th Celebration Conference - China\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ACM Turing 50th Celebration Conference - China\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3063955.3063986\",\"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 ACM Turing 50th Celebration Conference - China","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3063955.3063986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Logging is important since it lets us know what happened or are happening in any systems or networks. Our early work proposed a superior logging mechanism called flow-net. In this paper, we apply the flow-net method to fingerprinting, called flow-net based fingerprinting (FNF), to match and identify malicious behaviours. Evaluation results from experiments demonstrate good performance.
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