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arXiv:1707.08696cs.CR

Digital Forensic Approaches for Amazon Alexa Ecosystem

Hyunji Chung, Jungheum Park, Sangjin Lee

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Abstract

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.

arXiv comments
11 pages, 5 figures, conference accepted paper
Journal reference
DOI
Subjects
cs.CRCryptography and Security

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Discussed in comments1 thread

  1. Amazon’s plan for Alexa 1 comment
    • I don't think that's entirely true. People have analyzed the network traffic and found it to match the wakewords. The hardware and software architecture has also been analyzed and my understanding is that the wakeword functionality is implemented by secondary low-power hardware…

      kennuView on HNParent context

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