{"title":"大数据环境下网络安全监测的若干专题问题","authors":"Langzhou Liu, Jun Lin","doi":"10.1109/DASC.2013.30","DOIUrl":null,"url":null,"abstract":"Big Data possesses profound information of our society, and therefore, it impacts numerous aspects of human society, with a large amount of data from large-scale heterogeneous network environments, we should analyze some special issues of network security monitoring on Big Data environments. This paper propose data cleaning for various types of data sources and analysis Big Data on network security through security event on multiple associations rules. This study provides some ideas for network security monitoring on Big Data environments.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Some Special Issues of Network Security Monitoring on Big Data Environments\",\"authors\":\"Langzhou Liu, Jun Lin\",\"doi\":\"10.1109/DASC.2013.30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Big Data possesses profound information of our society, and therefore, it impacts numerous aspects of human society, with a large amount of data from large-scale heterogeneous network environments, we should analyze some special issues of network security monitoring on Big Data environments. This paper propose data cleaning for various types of data sources and analysis Big Data on network security through security event on multiple associations rules. This study provides some ideas for network security monitoring on Big Data environments.\",\"PeriodicalId\":179557,\"journal\":{\"name\":\"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DASC.2013.30\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASC.2013.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Some Special Issues of Network Security Monitoring on Big Data Environments
Big Data possesses profound information of our society, and therefore, it impacts numerous aspects of human society, with a large amount of data from large-scale heterogeneous network environments, we should analyze some special issues of network security monitoring on Big Data environments. This paper propose data cleaning for various types of data sources and analysis Big Data on network security through security event on multiple associations rules. This study provides some ideas for network security monitoring on Big Data environments.