TY - JOUR
T1 - Security, Privacy, and Reliability in Ubiquitous Intelligence Empowered Internet of Vehicles
AU - Zhang, Chuan
AU - Hu, Chenfei
AU - Zhang, Weiting
AU - Liang, Haotian
AU - Lei, Dian
AU - Zhu, Liehuang
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - Ubiquitous intelligence empowered internet of vehicles (UIIoV) is an emerging paradigm where network entities such as mobile vehicles, edge/cloud servers, and intermediate nodes interact to achieve effective data sensing and make intelligent decisions based on artificial intelligence techniques. Unlike the conventional internet of vehicles, artificial intelligence is introduced to improve the ability of data processing and analysis, and further enhance the accuracy of decision-making. In this article, we study the architecture of UIIoV, and the security, privacy, and reliability challenges it confronts. To be specific, we start by describing the overall infrastructure, exploring the security, privacy, and reliability demands of UIIoV, and further give state-of-the-art solutions to enable security guarantees, privacy protection, and prediction reliability. Finally, this article presents several promising future research directions to hopefully attract more attention to this emergent field.
AB - Ubiquitous intelligence empowered internet of vehicles (UIIoV) is an emerging paradigm where network entities such as mobile vehicles, edge/cloud servers, and intermediate nodes interact to achieve effective data sensing and make intelligent decisions based on artificial intelligence techniques. Unlike the conventional internet of vehicles, artificial intelligence is introduced to improve the ability of data processing and analysis, and further enhance the accuracy of decision-making. In this article, we study the architecture of UIIoV, and the security, privacy, and reliability challenges it confronts. To be specific, we start by describing the overall infrastructure, exploring the security, privacy, and reliability demands of UIIoV, and further give state-of-the-art solutions to enable security guarantees, privacy protection, and prediction reliability. Finally, this article presents several promising future research directions to hopefully attract more attention to this emergent field.
UR - http://www.scopus.com/inward/record.url?scp=85193984305&partnerID=8YFLogxK
U2 - 10.1109/IOTM.001.2300075
DO - 10.1109/IOTM.001.2300075
M3 - Article
AN - SCOPUS:85193984305
SN - 2576-3180
VL - 6
SP - 92
EP - 96
JO - IEEE Internet of Things Magazine
JF - IEEE Internet of Things Magazine
IS - 3
ER -