{"title":"Processing and Analytics of Big Network Traffic Data for Intrusion Detection","authors":"Nikola Ilić, J. Zdravković, D. Stojanović","doi":"10.1109/TELSIKS52058.2021.9606353","DOIUrl":null,"url":null,"abstract":"Processing and analyzing a vast amount of data, in order to keep computer systems safe from attacks and intrusions, is a very time-consuming process. The solution for this problem is the development of distributed firewalls and antivirus programs that use machine-learning algorithms for data analytics and can perform security-related tasks in almost real-time. Developed distributed firewall that uses ML algorithms is presented. The proposed solution was implemented and tested over a big dataset in a short time period to measure its speed and accuracy.","PeriodicalId":228464,"journal":{"name":"2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELSIKS52058.2021.9606353","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
Processing and analyzing a vast amount of data, in order to keep computer systems safe from attacks and intrusions, is a very time-consuming process. The solution for this problem is the development of distributed firewalls and antivirus programs that use machine-learning algorithms for data analytics and can perform security-related tasks in almost real-time. Developed distributed firewall that uses ML algorithms is presented. The proposed solution was implemented and tested over a big dataset in a short time period to measure its speed and accuracy.