Embedded System Security in Smart Consumer Electronics

Yier Jin
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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.
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智能消费电子产品中的嵌入式系统安全
制造业的进步和小型化、低能耗等新兴技术已被证明是人类进步的关键。曾经占据整栋大楼、需要数百名工程师操作的先进机器,现在被我们口袋里的智能手机所取代。随着互联网的出现和无线技术的普及,这些设备现在是高度互联的。进入物联网(IoT)和可穿戴设备的新生时代,装载传感器的小型嵌入式设备从周围环境收集信息,对其进行处理并将其转发到远程位置进行进一步分析。尽管看起来无害,但这种新兴技术引发了人们对安全和隐私的担忧。在这次谈话中,我们提出了妥协其中一个装置的可能性和影响的问题。专注于物联网设备的设计流程,我们讨论了一些常见的设计实践及其对安全和隐私的影响。我们以谷歌Nest学习恒温器为例,说明这些做法如何影响最终设备以及对用户安全和隐私的潜在后果。然后,我们将介绍设计流程安全增强方法,通过这些方法,安全将被内置到设备中,这与将安全视为在后制造阶段实现的附加属性的传统做法有很大区别。
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