{"title":"Catch me if you can: achieving complete internet anonymity using open source technologies","authors":"R. Bangar, V. Narkar, A. Phand, J. Lohokare","doi":"10.1049/icp.2022.0606","DOIUrl":null,"url":null,"abstract":"Search engines aggressively capture user data for targeted advertisements at the cost of user privacy. We present a framework for complete internet anonymity that blocks search engines from tracking user data based on cookies, IP address and search queries . The framework consists of a browser plugin to enable anonymous search by masking browser cookies, a VPN service to enable masking IP address and finally Natural Language Processing models for creating multiple queries to mask user data. Based completely on open source technologies, the framework serves as the first of its kind open source internet anonymity tool.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"9 371 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/icp.2022.0606","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
Search engines aggressively capture user data for targeted advertisements at the cost of user privacy. We present a framework for complete internet anonymity that blocks search engines from tracking user data based on cookies, IP address and search queries . The framework consists of a browser plugin to enable anonymous search by masking browser cookies, a VPN service to enable masking IP address and finally Natural Language Processing models for creating multiple queries to mask user data. Based completely on open source technologies, the framework serves as the first of its kind open source internet anonymity tool.