{"title":"一种基于CVSS框架的分布式入侵检测系统","authors":"J. Aussibal, L. Gallon","doi":"10.1109/SITIS.2008.115","DOIUrl":null,"url":null,"abstract":"The objective of this paper is to describe a new distributed intrusion detection system (IDS) based on CVSS framework. This new platform uses a wide set of classical IDS and detection entities. This distributed IDS aims to improve the discovery of anomalies by reducing the rate of false positives and false negatives. Entities correlate the different alerts emitted by local probes. The severity of anomalies is evaluated by using a cumulative score of alerts scores.","PeriodicalId":202698,"journal":{"name":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A New Distributed IDS Based on CVSS Framework\",\"authors\":\"J. Aussibal, L. Gallon\",\"doi\":\"10.1109/SITIS.2008.115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this paper is to describe a new distributed intrusion detection system (IDS) based on CVSS framework. This new platform uses a wide set of classical IDS and detection entities. This distributed IDS aims to improve the discovery of anomalies by reducing the rate of false positives and false negatives. Entities correlate the different alerts emitted by local probes. The severity of anomalies is evaluated by using a cumulative score of alerts scores.\",\"PeriodicalId\":202698,\"journal\":{\"name\":\"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SITIS.2008.115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Conference on Signal Image Technology and Internet Based Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2008.115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The objective of this paper is to describe a new distributed intrusion detection system (IDS) based on CVSS framework. This new platform uses a wide set of classical IDS and detection entities. This distributed IDS aims to improve the discovery of anomalies by reducing the rate of false positives and false negatives. Entities correlate the different alerts emitted by local probes. The severity of anomalies is evaluated by using a cumulative score of alerts scores.