TY - GEN
T1 - MC-PUF and VEDA Control based Ultralight Authentication Framework for Internet of Vehicle
AU - Sadhu, Pintu Kumar
AU - Yanambaka, Venkata P.
AU - Abdelgawad, Ahmed
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Internet of Vehicles (IoV) enhances autonomous vehicles outside the line of sight of sensors with regard to safety, enabling communication with all the elements of an intelligent transport environment. To ensure the correctness of the information and resist security threats, this paper proposed an ultralight authentication framework using machine learning controlled (MC) physical unclonable function (PUF) and VEDA control. The proposed scheme requires 3.85ms and 64 bytes to authenticate the vehicle. Moreover, 32 bytes are required for vehicle to other elements authentication.
AB - Internet of Vehicles (IoV) enhances autonomous vehicles outside the line of sight of sensors with regard to safety, enabling communication with all the elements of an intelligent transport environment. To ensure the correctness of the information and resist security threats, this paper proposed an ultralight authentication framework using machine learning controlled (MC) physical unclonable function (PUF) and VEDA control. The proposed scheme requires 3.85ms and 64 bytes to authenticate the vehicle. Moreover, 32 bytes are required for vehicle to other elements authentication.
KW - Authentication System
KW - Internet of Vehicles
KW - Machine Learning
KW - Physical Unclonable Function
UR - http://www.scopus.com/inward/record.url?scp=85147005327&partnerID=8YFLogxK
U2 - 10.1109/ICM56065.2022.10005458
DO - 10.1109/ICM56065.2022.10005458
M3 - Conference contribution
AN - SCOPUS:85147005327
T3 - 2022 International Conference on Microelectronics, ICM 2022
SP - 82
EP - 85
BT - 2022 International Conference on Microelectronics, ICM 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Microelectronics, ICM 2022
Y2 - 4 December 2022 through 7 December 2022
ER -