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AuthorLiu, Xuanyu
AuthorLi, Ang
AuthorFu, Xiao
AuthorLuo, Bin
AuthorDu, Xiaojiang
AuthorGuizani, Mohsen
Available date2022-11-09T20:41:10Z
Publication Date2021-01-01
Publication Name2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
Identifierhttp://dx.doi.org/10.1109/GLOBECOM46510.2021.9685816
CitationLiu, X., Li, A., Fu, X., Luo, B., Du, X., & Guizani, M. (2021, December). Understanding Digital Forensic Characteristics of Smart Speaker Ecosystems. In 2021 IEEE Global Communications Conference (GLOBECOM) (pp. 1-6). IEEE.‏
ISBN9781728181042
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85127301137&origin=inward
URIhttp://hdl.handle.net/10576/35986
AbstractWith 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.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectdata provenance
Digital forensics
smart speaker ecosystem
TitleUnderstanding Digital Forensic Characteristics of Smart Speaker Ecosystems
TypeConference Paper
dc.accessType Abstract Only


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