Digital forensic approaches for Amazon Alexa ecosystem

Hyunji Chung, Jungheum Park, Sangjin Lee

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

Internet of Things (IoT) devices such as the Amazon Echo – a smart speaker developed by Amazon – are undoubtedly great sources of potential digital evidence due to their ubiquitous use and their always-on mode of operation, constituting a human-life's black box. The Amazon Echo in particular plays a centric role for the cloud-based intelligent virtual assistant (IVA) 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's ecosystem. The primary contribution of this paper consists of a new efficient approach of combining cloud-native forensics with client-side forensics (forensics for companion devices), 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 (mobile applications and web browsers).

Original languageEnglish
PagesS15-S25
DOIs
Publication statusPublished - 2017
Event17th Annual DFRWS USA, DFRWS 2017 USA - Austin, United States
Duration: 2017 Aug 62017 Aug 9

Conference

Conference17th Annual DFRWS USA, DFRWS 2017 USA
CountryUnited States
CityAustin
Period17/8/617/8/9

Keywords

  • Amazon Alexa
  • Amazon echo
  • CIFT
  • Client centric forensics
  • Cloud native forensics
  • Cloud-based IoT
  • Intelligent virtual assistant (IVA)
  • Internet of things

ASJC Scopus subject areas

  • Information Systems

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