亚马逊Alexa生态系统的数字取证方法
Digital Forensic Approaches for Amazon Alexa Ecosystem
摘要：
像亚马逊Echo这样的物联网设备无疑是潜在数字证据的重要来源，因为它们无处不在，而且总是处于运行模式，构成了人类生活的黑匣子。Amazon Echo在Amazon Lab 126开发的基于云的智能虚拟助手Alexa中发挥着核心作用。支持Alexa的无线智能扬声器是所有提交给Alexa的语音命令的网关。此外，IVA与大量兼容的物联网设备和利用云资源的第三方应用程序进行交互。了解允许Alexa无处不在的复杂云生态系统对于在需求增加时支持数字调查至关重要。本文讨论了与IVA Alexa生态系统相关的数字取证方法。本文的主要贡献包括一种新的有效方法，将云原生取证与客户端取证相结合，以支持实际的数字调查。基于对目标生态系统的深入了解，我们提出了一个概念验证工具CIFT，它支持识别、获取和分析来自云的本地工件和来自本地设备的以客户端为中心的工件。
英文摘要：
Internet of Things devices such as the Amazon Echo are undoubtedly great sources of potential digital evidence due to their ubiquitous use and their always on mode of operation, constituting a human life black box. The Amazon Echo in particular plays a centric role for the cloud based intelligent virtual assistant Alexa developed by Amazon Lab126. The Alexa enabled wireless smart speaker is the gateway for all voice commands submitted to Alexa. Moreover, the IVA interacts with a plethora of compatible IoT devices and third party applications that leverage cloud resources. Understanding the complex cloud ecosystem that allows ubiquitous use of Alexa is paramount on supporting digital investigations when need raises. This paper discusses methods for digital forensics pertaining to the IVA Alexa ecosystem. The primary contribution of this paper consists of a new efficient approach of combining cloud native forensics with client side forensics, to support practical digital investigations. Based on a deep understanding of the targeted ecosystem, we propose a proof of concept tool, CIFT, that supports identification, acquisition and analysis of both native artifacts from the cloud and client centric artifacts from local devices.
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