TY - GEN
T1 - A Non-Intrusive Method for Smart Speaker Forensics
AU - Lin, Li
AU - Liu, Xuanyu
AU - Fu, Xiao
AU - Luo, Bin
AU - Du, Xiaojiang
AU - Guizani, Mohsen
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - With the rapid development of the Internet of Things technology, smart speakers have become increasingly popular. However, smart speaker security is an ensuing threat. At present, smart speakers are activated by voice, and they monitor users' voices 24 hours per day. Consequently, there may be problems with user privacy leakage. In this paper, we propose a non-intrusive digital forensic method for smart speakers. The main contribution of the paper is an effective method of combining network traffic analysis with the extraction of user intent and alarms about abnormal network traffic to support the investigation of security. We use Xiaomi smart speakers as an example in an experiment to verify our forensic method. The evaluation results show that our method works well for detecting security risks.
AB - With the rapid development of the Internet of Things technology, smart speakers have become increasingly popular. However, smart speaker security is an ensuing threat. At present, smart speakers are activated by voice, and they monitor users' voices 24 hours per day. Consequently, there may be problems with user privacy leakage. In this paper, we propose a non-intrusive digital forensic method for smart speakers. The main contribution of the paper is an effective method of combining network traffic analysis with the extraction of user intent and alarms about abnormal network traffic to support the investigation of security. We use Xiaomi smart speakers as an example in an experiment to verify our forensic method. The evaluation results show that our method works well for detecting security risks.
KW - digital forensics
KW - network traffic
KW - non-intrusive
KW - smart speaker
KW - users intent
UR - http://www.scopus.com/inward/record.url?scp=85115716481&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85115716481&partnerID=8YFLogxK
U2 - 10.1109/ICC42927.2021.9500679
DO - 10.1109/ICC42927.2021.9500679
M3 - Conference contribution
AN - SCOPUS:85115716481
T3 - IEEE International Conference on Communications
BT - ICC 2021 - IEEE International Conference on Communications, Proceedings
T2 - 2021 IEEE International Conference on Communications, ICC 2021
Y2 - 14 June 2021 through 23 June 2021
ER -