{"title":"Analysis of Network Traffic in CLOUD Environment","authors":"M. Hasin, B. Madoš, J. Palša, Alla Janitor","doi":"10.1109/ICETA51985.2020.9379153","DOIUrl":null,"url":null,"abstract":"The article focuses on the research and design of the infrastructure used for data collection from the network traffic of the CLOUD platform. The aim was to identify the structure of network traffic that occurs in the CLOUD platform. From the mentioned data it is possible to evaluate network security of the protocols used in communication and subsequently compare the obtained data with the security standards introduced in the experimental platform. When implementing the measurement, the NetFlow protocol was used, enabling data collection directly on virtual machines located in the CLOUD platform. The measured data was then stored in the non-relational database Elasticsearch. The selected database is intended for the analysis of a large amount of data. The most important part is the creation of an interactive web environment in order to interpret the measured data in a user-friendly form. The next step in the processing of measured data involves the application of artificial intelligence methods to evaluate and predict the existence of potential security problems.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETA51985.2020.9379153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article focuses on the research and design of the infrastructure used for data collection from the network traffic of the CLOUD platform. The aim was to identify the structure of network traffic that occurs in the CLOUD platform. From the mentioned data it is possible to evaluate network security of the protocols used in communication and subsequently compare the obtained data with the security standards introduced in the experimental platform. When implementing the measurement, the NetFlow protocol was used, enabling data collection directly on virtual machines located in the CLOUD platform. The measured data was then stored in the non-relational database Elasticsearch. The selected database is intended for the analysis of a large amount of data. The most important part is the creation of an interactive web environment in order to interpret the measured data in a user-friendly form. The next step in the processing of measured data involves the application of artificial intelligence methods to evaluate and predict the existence of potential security problems.