TY - JOUR
T1 - Understanding Digital Forensic Characteristics of Smart Speaker Ecosystems
AU - Liu, Xuanyu
AU - Li, Ang
AU - Fu, Xiao
AU - Luo, Bin
AU - Du, Xiaojiang
AU - Guizani, Mohsen
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - data provenance
KW - Digital forensics
KW - smart speaker ecosystem
UR - http://www.scopus.com/inward/record.url?scp=85184366578&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85184366578&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM46510.2021.9685816
DO - 10.1109/GLOBECOM46510.2021.9685816
M3 - Conference article
AN - SCOPUS:85184366578
SN - 2334-0983
JO - Proceedings - IEEE Global Communications Conference, GLOBECOM
JF - Proceedings - IEEE Global Communications Conference, GLOBECOM
T2 - 2021 IEEE Global Communications Conference, GLOBECOM 2021
Y2 - 7 December 2021 through 11 December 2021
ER -