{"title":"基于性能数据的异常检测","authors":"S. Gokhale, Jijun Lu","doi":"10.1109/IAW.2005.1495993","DOIUrl":null,"url":null,"abstract":"In this research, we demonstrate the feasibility of using application performance data for the purpose of anomaly detection. Specifically, we use the signaling performance of a voice-over-IP (VoIP) infrastructure for the purpose of illustration. We also develop an approach to use the /spl chi//sup 2/ test statistic for anomaly detection based on application performance data.","PeriodicalId":252208,"journal":{"name":"Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Anomaly detection based on performance data\",\"authors\":\"S. Gokhale, Jijun Lu\",\"doi\":\"10.1109/IAW.2005.1495993\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research, we demonstrate the feasibility of using application performance data for the purpose of anomaly detection. Specifically, we use the signaling performance of a voice-over-IP (VoIP) infrastructure for the purpose of illustration. We also develop an approach to use the /spl chi//sup 2/ test statistic for anomaly detection based on application performance data.\",\"PeriodicalId\":252208,\"journal\":{\"name\":\"Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAW.2005.1495993\",\"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 from the Sixth Annual IEEE SMC Information Assurance Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAW.2005.1495993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this research, we demonstrate the feasibility of using application performance data for the purpose of anomaly detection. Specifically, we use the signaling performance of a voice-over-IP (VoIP) infrastructure for the purpose of illustration. We also develop an approach to use the /spl chi//sup 2/ test statistic for anomaly detection based on application performance data.
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