TY - GEN
T1 - Security in Edge-Centric Intelligent Internet of Vehicles
T2 - Issues and Remedies
AU - Adhikari, Mainak
AU - Munusamy, Ambigavathi
AU - Hazra, Abhishek
AU - Menon, Varun G.
AU - Anavangot, Vijay
AU - Puthal, Deepak
N1 - Publisher Copyright:
© 2012 IEEE.
PY - 2022/11/1
Y1 - 2022/11/1
N2 - Propelled by the growth of automotive industry, and the ubiquity of smart sensors, intelligent transport systems such as the Internet of Vehicles (IoV) have seen significant research interest in recent times. The emerging distributed IoV networks support real-time vehicular applications through on-device computing, communication-efficient data processing, edge computing, and cloud aggregation. While enriching the user experience by minimizing the end-to-end latency through efficient energy management, IoV deployments face the fundamental challenge of security attacks. In this article, we discuss various security attack modes in an edge-centric intelligent IoV framework, consisting of distributed smart vehicles, and remote processing units. We highlight various attack detection and mitigation mechanism for the proposed IoV framework, to address the security challenges. Finally, we shed light on several future research directions to ensure security of sensory data in edge-centric IoV systems.
AB - Propelled by the growth of automotive industry, and the ubiquity of smart sensors, intelligent transport systems such as the Internet of Vehicles (IoV) have seen significant research interest in recent times. The emerging distributed IoV networks support real-time vehicular applications through on-device computing, communication-efficient data processing, edge computing, and cloud aggregation. While enriching the user experience by minimizing the end-to-end latency through efficient energy management, IoV deployments face the fundamental challenge of security attacks. In this article, we discuss various security attack modes in an edge-centric intelligent IoV framework, consisting of distributed smart vehicles, and remote processing units. We highlight various attack detection and mitigation mechanism for the proposed IoV framework, to address the security challenges. Finally, we shed light on several future research directions to ensure security of sensory data in edge-centric IoV systems.
UR - https://www.scopus.com/pages/publications/85118643400
U2 - 10.1109/MCE.2021.3116415
DO - 10.1109/MCE.2021.3116415
M3 - Article
AN - SCOPUS:85118643400
SN - 2162-2248
VL - 11
SP - 24
EP - 31
JO - IEEE Consumer Electronics Magazine
JF - IEEE Consumer Electronics Magazine
ER -