{"title":"印度电子政务框架中的安全趋势与信任","authors":"R. Suman, Bhaskar Mondal, T. Mandal","doi":"10.4018/ijegr.300775","DOIUrl":null,"url":null,"abstract":"In an e-governance framework, the end user frequently falls victim to the digital divide and a lack of required knowledge regarding self-protection against cyber-attacks. The purpose of this research is to examine the threats to the e-governance framework, end users' trust in the security of e-governance applications, and end users' security behaviour on the Internet. Additionally, the research forecasts future trends in various types of security attacks in India. To forecast future trends in various types of security attacks in India, historical data from the CERT-in annual report is gathered (2006 to 2020). To forecast future trends, the AutoRegressive Integrated Moving Average (ARIMA) is applied to the collected data. Additionally, an anonymous survey of 1,000 end users was conducted to ascertain end users' trust in the security of e-governance applications and some end users' security behaviour on the Internet. The research concludes that five of the six attack categories identified by CERT-in will see a consistent increase in the next five years.","PeriodicalId":170341,"journal":{"name":"Int. J. Electron. Gov. Res.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Security Trend and Trust in India's E-Governance Framework\",\"authors\":\"R. Suman, Bhaskar Mondal, T. Mandal\",\"doi\":\"10.4018/ijegr.300775\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In an e-governance framework, the end user frequently falls victim to the digital divide and a lack of required knowledge regarding self-protection against cyber-attacks. The purpose of this research is to examine the threats to the e-governance framework, end users' trust in the security of e-governance applications, and end users' security behaviour on the Internet. Additionally, the research forecasts future trends in various types of security attacks in India. To forecast future trends in various types of security attacks in India, historical data from the CERT-in annual report is gathered (2006 to 2020). To forecast future trends, the AutoRegressive Integrated Moving Average (ARIMA) is applied to the collected data. Additionally, an anonymous survey of 1,000 end users was conducted to ascertain end users' trust in the security of e-governance applications and some end users' security behaviour on the Internet. The research concludes that five of the six attack categories identified by CERT-in will see a consistent increase in the next five years.\",\"PeriodicalId\":170341,\"journal\":{\"name\":\"Int. J. Electron. Gov. Res.\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Electron. Gov. Res.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijegr.300775\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Electron. Gov. Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijegr.300775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Security Trend and Trust in India's E-Governance Framework
In an e-governance framework, the end user frequently falls victim to the digital divide and a lack of required knowledge regarding self-protection against cyber-attacks. The purpose of this research is to examine the threats to the e-governance framework, end users' trust in the security of e-governance applications, and end users' security behaviour on the Internet. Additionally, the research forecasts future trends in various types of security attacks in India. To forecast future trends in various types of security attacks in India, historical data from the CERT-in annual report is gathered (2006 to 2020). To forecast future trends, the AutoRegressive Integrated Moving Average (ARIMA) is applied to the collected data. Additionally, an anonymous survey of 1,000 end users was conducted to ascertain end users' trust in the security of e-governance applications and some end users' security behaviour on the Internet. The research concludes that five of the six attack categories identified by CERT-in will see a consistent increase in the next five years.