A. A. Frolov, D. Silnov, Yaroslav Y. Geraschencko, A. M. Sadretdinov, Amir A. Kiamov
{"title":"Research of mechanisms counteracting the distribution of prohibited content on the Internet","authors":"A. A. Frolov, D. Silnov, Yaroslav Y. Geraschencko, A. M. Sadretdinov, Amir A. Kiamov","doi":"10.1109/EICONRUS.2018.8317092","DOIUrl":null,"url":null,"abstract":"The article proposes a solution for preventing prohibited content on the Internet. An experiment that was conducted to analyze the extent of the problem is described. For this purpose, a software complex was implemented, which was used to collect data on resources with illegal content and to prevent further distribution of content. Based on the results of this software and data analysis, a set of methods for preventing the prohibited distribution of content was defined. The results of the study contain information on the extent of this problem, which confirms the assumption that the existing methods are not sufficient as the amount of content is increasing.","PeriodicalId":6562,"journal":{"name":"2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","volume":"18 1","pages":"298-302"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EICONRUS.2018.8317092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The article proposes a solution for preventing prohibited content on the Internet. An experiment that was conducted to analyze the extent of the problem is described. For this purpose, a software complex was implemented, which was used to collect data on resources with illegal content and to prevent further distribution of content. Based on the results of this software and data analysis, a set of methods for preventing the prohibited distribution of content was defined. The results of the study contain information on the extent of this problem, which confirms the assumption that the existing methods are not sufficient as the amount of content is increasing.