{"title":"远程工作者网络懈怠与计算机安全态势的实证评估以评估组织网络安全风险","authors":"Ariel Luna, Y. Levy, G. Simco, Wei Li","doi":"10.1109/HPEC55821.2022.9926394","DOIUrl":null,"url":null,"abstract":"Cyberslacking is conducted by employees who are using their companies' equipment and network for personal purposes instead of working during work hours. Cyberslacking has a significant adverse effect on overall employee productivity., however, recently, due to COVID19 move to remote working also pose a cybersecurity risk to organizations networks and infrastructure. In this work-in-progress research study, we are developing, validating, and will empirically test a taxonomy to assess an organization's remote workers” risk level of cybersecurity threats. This study includes a three-phased developmental approach in developing the Remote Worker Cyberslacking Security Risk Taxonomy. In collaboration with cybersecurity Subject Matter Experts (SMEs) use the taxonomy to assess organization's remote workers” risk level of cybersecurity threats by using actual system indicators of productivity measures to estimate their cyberslacking along with assessing via organizational information the computer security posture of the remote device being used to access corporate resources. Anticipated results from 125 anonymous employees from one organization will then be assessed on the cybersecurity risk taxonomy where recommendation to the organization's cybersecurity leadership will be provided.","PeriodicalId":200071,"journal":{"name":"2022 IEEE High Performance Extreme Computing Conference (HPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Proposed Empirical Assessment of Remote Workers' Cyberslacking and Computer Security Posture to Assess Organizational Cybersecurity Risks\",\"authors\":\"Ariel Luna, Y. Levy, G. Simco, Wei Li\",\"doi\":\"10.1109/HPEC55821.2022.9926394\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cyberslacking is conducted by employees who are using their companies' equipment and network for personal purposes instead of working during work hours. Cyberslacking has a significant adverse effect on overall employee productivity., however, recently, due to COVID19 move to remote working also pose a cybersecurity risk to organizations networks and infrastructure. In this work-in-progress research study, we are developing, validating, and will empirically test a taxonomy to assess an organization's remote workers” risk level of cybersecurity threats. This study includes a three-phased developmental approach in developing the Remote Worker Cyberslacking Security Risk Taxonomy. In collaboration with cybersecurity Subject Matter Experts (SMEs) use the taxonomy to assess organization's remote workers” risk level of cybersecurity threats by using actual system indicators of productivity measures to estimate their cyberslacking along with assessing via organizational information the computer security posture of the remote device being used to access corporate resources. Anticipated results from 125 anonymous employees from one organization will then be assessed on the cybersecurity risk taxonomy where recommendation to the organization's cybersecurity leadership will be provided.\",\"PeriodicalId\":200071,\"journal\":{\"name\":\"2022 IEEE High Performance Extreme Computing Conference (HPEC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE High Performance Extreme Computing Conference (HPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPEC55821.2022.9926394\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE High Performance Extreme Computing Conference (HPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPEC55821.2022.9926394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Proposed Empirical Assessment of Remote Workers' Cyberslacking and Computer Security Posture to Assess Organizational Cybersecurity Risks
Cyberslacking is conducted by employees who are using their companies' equipment and network for personal purposes instead of working during work hours. Cyberslacking has a significant adverse effect on overall employee productivity., however, recently, due to COVID19 move to remote working also pose a cybersecurity risk to organizations networks and infrastructure. In this work-in-progress research study, we are developing, validating, and will empirically test a taxonomy to assess an organization's remote workers” risk level of cybersecurity threats. This study includes a three-phased developmental approach in developing the Remote Worker Cyberslacking Security Risk Taxonomy. In collaboration with cybersecurity Subject Matter Experts (SMEs) use the taxonomy to assess organization's remote workers” risk level of cybersecurity threats by using actual system indicators of productivity measures to estimate their cyberslacking along with assessing via organizational information the computer security posture of the remote device being used to access corporate resources. Anticipated results from 125 anonymous employees from one organization will then be assessed on the cybersecurity risk taxonomy where recommendation to the organization's cybersecurity leadership will be provided.