J. Ryoo, Soyoung Kim, Junsung Cho, Hyoungshick Kim, S. Tjoa, Christopher Derobertis
{"title":"IoE Security Threats and You","authors":"J. Ryoo, Soyoung Kim, Junsung Cho, Hyoungshick Kim, S. Tjoa, Christopher Derobertis","doi":"10.1109/ICSSA.2017.28","DOIUrl":null,"url":null,"abstract":"Internet of Everything (IoE) is a newly emerging trend especially in homes. Marketing forces towards smart homes are also accelerating the spread of IoE devices in households. An obvious danger of rapid adoption of these gadgets is that many of them lack controls for protecting the privacy and security of end users from attacks designed to disrupt lives and incur financial losses. Our research goal for this paper is to develop an IoE threat model geared specifically for home users who are often unaware of the privacy and security threats which the IoE appliances pose. Our ultimate goal is to propose an effective solution to alerting users of imminent IoE security threats and offering actionable steps to mitigate them through an intuitive and friendly user interface design. There have been ample security research on individual elements of IoE. In particular, there are many publications on Internet of Things (IoT) security. What differentiates our research from the existing IoT works is that we are treating IoT as a component of an IoE ecosystem and developing our threat model in the more comprehensive context of how other pieces of the equation, such as people and data as well as processes fit together to result in formidable security threats.","PeriodicalId":307280,"journal":{"name":"2017 International Conference on Software Security and Assurance (ICSSA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Software Security and Assurance (ICSSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSA.2017.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
Internet of Everything (IoE) is a newly emerging trend especially in homes. Marketing forces towards smart homes are also accelerating the spread of IoE devices in households. An obvious danger of rapid adoption of these gadgets is that many of them lack controls for protecting the privacy and security of end users from attacks designed to disrupt lives and incur financial losses. Our research goal for this paper is to develop an IoE threat model geared specifically for home users who are often unaware of the privacy and security threats which the IoE appliances pose. Our ultimate goal is to propose an effective solution to alerting users of imminent IoE security threats and offering actionable steps to mitigate them through an intuitive and friendly user interface design. There have been ample security research on individual elements of IoE. In particular, there are many publications on Internet of Things (IoT) security. What differentiates our research from the existing IoT works is that we are treating IoT as a component of an IoE ecosystem and developing our threat model in the more comprehensive context of how other pieces of the equation, such as people and data as well as processes fit together to result in formidable security threats.