TY - GEN
T1 - Challenges and future directions for security and privacy in vehicular fog computing
AU - Nazih, Ossama
AU - Benamar, Nabil
AU - Lamaazi, Hanane
AU - Chaoui, Habiba
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Cooperative Intelligent Transportation System (CITS) has been introduced recently to increase road safety, traffic efficiency, and to enable various infotainment and comfort applications and services. To this end, a bunch technologies have been deployed to maintain and promote ITS. In essence, ITS is composed of vehicles, roadside infrastructure, and the environment that includes pedestrians, and other entities. Recently, several solutions were suggested to handle with the challenges faced by the vehicular networks (VN) using future internet architectures. One of the promising solutions proposed recently is Vehicular Fog computing (VFC), an attractive solution that supports sensitive service requests considering factors such as latency, mobility, localization, and scalability. VFC also provides a virtual platform for real-time big data analytic using servers or vehicles as a fog infrastructure. This paper surveys the general fog computing (FC) concept, the VFC architectures, and the key characteristics of several intelligent computing applications. We mainly focus on trust and security challenges in VFC deployment and real-time BD analytic in vehicular environment. We identify the faced challenges and future research directions in VFC and we highlight the research gap that can be exploited by researchers and vehicular manufactures while designing a new secure VFC architecture.
AB - Cooperative Intelligent Transportation System (CITS) has been introduced recently to increase road safety, traffic efficiency, and to enable various infotainment and comfort applications and services. To this end, a bunch technologies have been deployed to maintain and promote ITS. In essence, ITS is composed of vehicles, roadside infrastructure, and the environment that includes pedestrians, and other entities. Recently, several solutions were suggested to handle with the challenges faced by the vehicular networks (VN) using future internet architectures. One of the promising solutions proposed recently is Vehicular Fog computing (VFC), an attractive solution that supports sensitive service requests considering factors such as latency, mobility, localization, and scalability. VFC also provides a virtual platform for real-time big data analytic using servers or vehicles as a fog infrastructure. This paper surveys the general fog computing (FC) concept, the VFC architectures, and the key characteristics of several intelligent computing applications. We mainly focus on trust and security challenges in VFC deployment and real-time BD analytic in vehicular environment. We identify the faced challenges and future research directions in VFC and we highlight the research gap that can be exploited by researchers and vehicular manufactures while designing a new secure VFC architecture.
KW - Security
KW - Trust
KW - Vehicular fog computing
UR - https://www.scopus.com/pages/publications/85146437928
UR - https://www.scopus.com/pages/publications/85146437928#tab=citedBy
U2 - 10.1109/3ICT56508.2022.9990869
DO - 10.1109/3ICT56508.2022.9990869
M3 - Conference contribution
AN - SCOPUS:85146437928
T3 - 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022
SP - 693
EP - 699
BT - 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022
Y2 - 20 November 2022 through 21 November 2022
ER -