Understanding Digital Forensic Characteristics of Smart Speaker Ecosystems

Xuanyu Liu, Ang Li, Xiao Fu, Bin Luo, Xiaojiang Du, Mohsen Guizani

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

With a built-in intelligent personal voice assistant providing QA services, smart speaker ecosystems combine multiple compatible components, including the internet of things (IoT) technology, mobile devices, and cloud computing. However, as it is closely related to people's daily lives, security and privacy issues have gained worldwide attention. Components in the ecosystem are interconnected and chained together to enable the ecosystem to perform increasingly diverse operations. By collecting meaningful data from smart speaker ecosystems, we can reconstruct user behavior and provide a holistic explanation for finding the root cause of an observable symptom. This highlights the need for digital forensic research to enhance the security and privacy of smart speaker ecosystems. In this paper, we first discuss the digital forensic characteristics of a smart speaker ecosystem. Then, we propose a proof-of-concept digital forensic tool based on data provenance, that supports the identification, acquisition, and analysis of client-side artifacts from local devices.

Original languageEnglish
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
DOIs
StatePublished - 2021
Event2021 IEEE Global Communications Conference, GLOBECOM 2021 - Madrid, Spain
Duration: 7 Dec 202111 Dec 2021

Keywords

  • data provenance
  • Digital forensics
  • smart speaker ecosystem

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