{"title":"Embedded System Security in Smart Consumer Electronics","authors":"Yier Jin","doi":"10.1145/2666141.2673888","DOIUrl":null,"url":null,"abstract":"Advances in manufacturing and emerging technologies in miniaturization and reduction of power consumption have proven to be a pivotal point in mankind's progress. The once advanced machines that occupied entire buildings and needed hundreds of engineers to be operated are now shadowed by the smart cellular phones we carry in our pockets. With the advent of the Internet and proliferation of wireless technologies, these devices are now extremely interconnected. Enter the nascent era of Internet of Things (IoT) and wearable devices, where small embedded devices loaded with sensors collect information from its surroundings, process it and relay it to remote locations for further analysis. Albeit looking harmless, this nascent technologies raise security and privacy concerns. In this talk, we pose the question of the possibility and effects of compromising one of such devices. Concentrating on the design flow of IoT devices, we discuss some common design practices and their implications on security and privacy. We present the Google Nest Learning Thermostat as an example on how these practices affect the resulting device and the potential consequences to user security and privacy. We will then introduce design flow security enhancement methods through which security will be built into the device, a major difference from traditional practices which treat security as an add-on property implemented at post-fabrication stage.","PeriodicalId":350304,"journal":{"name":"Workshop on Trustworthy Embedded Devices","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Trustworthy Embedded Devices","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2666141.2673888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Advances in manufacturing and emerging technologies in miniaturization and reduction of power consumption have proven to be a pivotal point in mankind's progress. The once advanced machines that occupied entire buildings and needed hundreds of engineers to be operated are now shadowed by the smart cellular phones we carry in our pockets. With the advent of the Internet and proliferation of wireless technologies, these devices are now extremely interconnected. Enter the nascent era of Internet of Things (IoT) and wearable devices, where small embedded devices loaded with sensors collect information from its surroundings, process it and relay it to remote locations for further analysis. Albeit looking harmless, this nascent technologies raise security and privacy concerns. In this talk, we pose the question of the possibility and effects of compromising one of such devices. Concentrating on the design flow of IoT devices, we discuss some common design practices and their implications on security and privacy. We present the Google Nest Learning Thermostat as an example on how these practices affect the resulting device and the potential consequences to user security and privacy. We will then introduce design flow security enhancement methods through which security will be built into the device, a major difference from traditional practices which treat security as an add-on property implemented at post-fabrication stage.