Inproceedings
عنوان الكتاب :
International Conference on Mobile, Secure, and Programmable Networking
السلسلة :
Lecture Notes in Computer Science (LNCS)
المكان :
Paris, France
ISBN : 978-3-030-67549-3
الناشر :
معلومات
الفترة : October 2020
المجلد : 12605
الصفحات : 177-194
التفاصيل
Toward a Privacy Guard for Cloud-Based Home Assistants and IoT Devices
Radja Boukharrou Ahmed-Chawki Chaouche Khaoula Mahdjar
The Internet of Things is a technology which is dominating our lives, making it more comfortable, safer and smarter. Using smart speakers as voice assistants for smart homes provides valuable service and an easy control of IoT devices, despite allowing the emergence of privacy threats and disclosing sensitive data about users. In this paper, we propose to associate with any smart personal assistant a privacy guard gateway (PGG for short) in order to mitigate privacy issues related to cloud-based devices, like profiling and linkage. In an original way, the PGG system is based on a noise addition mechanism that injects dummy requests according to some selected strategy, without the user’s activities being stored during the operation. A case study of our approach is experimented with a Google Home Assistant, in order to show its effectiveness.
الكلمات المفتاحية :
Internet of Things Smart home Personal Assistants Cloud-based devices Privacy issues Privacy guard gateway Scrambling mechanism
مرجع الإقتباس :
misc-lab-347
DOI :
10.1007/978-3-030-67550-9_12
الرابط :
Texte intégral
ACM :
R. Boukharrou, A.-C. Chaouche and K. Mahdjar. 2020. Toward a Privacy Guard for Cloud-Based Home Assistants and IoT Devices. In Proceedings of the International Conference on Mobile, Secure, and Programmable Networking, Paris, France. Lecture Notes in Computer Science (LNCS), 12605 (October 2020), Springer, 177-194. DOI: https://doi.org/10.1007/978-3-030-67550-9_12.
APA :
Boukharrou, R., Chaouche, A.-C. & Mahdjar, K. (2020, October). Toward a Privacy Guard for Cloud-Based Home Assistants and IoT Devices. In Proceedings of the International Conference on Mobile, Secure, and Programmable Networking, Paris, France. Lecture Notes in Computer Science (LNCS), 12605, Springer, 177-194. DOI: https://doi.org/10.1007/978-3-030-67550-9_12
IEEE :
R. Boukharrou, A.-C. Chaouche and K. Mahdjar, "Toward a Privacy Guard for Cloud-Based Home Assistants and IoT Devices". In Proceedings of the International Conference on Mobile, Secure, and Programmable Networking, Paris, France. Lecture Notes in Computer Science (LNCS), vol. 12605, Springer, pp. 177-194, October, 2020. DOI: https://doi.org/10.1007/978-3-030-67550-9_12.
BibTeX :
@inproceedings{misc-lab-347,
author = {Boukharrou, Radja and Chaouche, Ahmed-Chawki and Mahdjar, Khaoula},
title = {Toward a Privacy Guard for Cloud-Based Home Assistants and IoT Devices},
volume = {12605},
booktitle = {International Conference on Mobile, Secure, and Programmable Networking},
series = {Lecture Notes in Computer Science (LNCS)},
location = {Paris, France},
isbn = {978-3-030-67549-3},
pages = {177--194},
publisher = {Springer},
year = {2020},
month = {October},
doi = {10.1007/978-3-030-67550-9\_12},
url = {https://link.springer.com/chapter/10.1007/978-3-030-67550-9\_12},
keywords = {Internet of Things, Smart home Personal Assistants, Cloud-based devices, Privacy issues, Privacy guard gateway, Scrambling mechanism}
}
RIS :
TY  - CONF
TI - Toward a Privacy Guard for Cloud-Based Home Assistants and IoT Devices
AU - R. Boukharrou
AU - A.-C. Chaouche
AU - K. Mahdjar
PY - 2020
VL - 12605
BT - International Conference on Mobile, Secure, and Programmable Networking, Paris, France
SN - 978-3-030-67549-3
SP - 177
EP - 194
PB - Springer
AB - The Internet of Things is a technology which is dominating our lives, making it more comfortable, safer and smarter. Using smart speakers as voice assistants for smart homes provides valuable service and an easy control of IoT devices, despite allowing the emergence of privacy threats and disclosing sensitive data about users. In this paper, we propose to associate with any smart personal assistant a privacy guard gateway (PGG for short) in order to mitigate privacy issues related to cloud-based devices, like profiling and linkage. In an original way, the PGG system is based on a noise addition mechanism that injects dummy requests according to some selected strategy, without the user’s activities being stored during the operation. A case study of our approach is experimented with a Google Home Assistant, in order to show its effectiveness.
KW - Internet of Things
KW - Smart home Personal Assistants
KW - Cloud-based devices
KW - Privacy issues
KW - Privacy guard gateway
KW - Scrambling mechanism
DO - 10.1007/978-3-030-67550-9_12
UR - https://link.springer.com/chapter/10.1007/978-3-030-67550-9_12
ID - misc-lab-347
ER -