Smart City Gnosys

Smart city article details

Title	A Service-Categorized Security Scheme With Physical Unclonable Functions For Internet Of Vehicles
ID_Doc	4593
Authors	Halima N.B.; Alluhaidan A.S.; Khan M.Z.; Husain M.S.; Khan M.A.
Year	2023
Published	Journal of Big Data, 10, 1
DOI	http://dx.doi.org/10.1186/s40537-023-00865-7
Abstract	In smart cities, communication and information exchange for the Internet of Vehicles rely on open and closed infrastructures along the roadside. Secure communications rely on the sender and receiver devices having self-sustaining authentication methods. The perquisites of the authentication methods are to grip communication without being falsified by an adversary or unidentified third parties. This article introduces the Service-Categorized Security Scheme (SCSS) with a physically unclonable function (PUF) for handling sensitive guidance/communication information. The vehicle-side authentication, access control, and service demands are governed using service-based PUF factors such as digital signatures, passwords, etc. To prevent anonymous third parties and adversaries, the PUF operates over compromised and uncompromised communication devices. Device-specific keys generated by PUFs based on intrinsic physical variances help identify between compromised and uncompromised devices, while keys generated by uncompromised devices conform to their expected profiles In the service-sharing process, mutual authentication using synchronized keys is used for security and service verification. The synchronized keys are integrated with the PUF for monitoring de-synchronization and individual operation. This decision is made using federated learning from the external service provider and the communicator of the vehicle. Through the learning process, a de-synchronization occurrence at the service provider and vehicle is identified as the reason for disconnecting the session. As a result, any suspicious activity that contradicts service security is identified, and the information of the communicating vehicle is secured. The proposed scheme is analyzed using the metrics authentication time, adversary detection ratio, complexity, de-synchronization time, and successful sessions. © 2023, The Author(s).
Author Keywords	Federated learning; IoV; PUF

Similar Articles

Id	Similarity	Authors	Title	Published
16791	0.896	Shen A.; Tan W.; Jia C.; Chen Y.; Niu K.; Li C.; Zhang Y.	Cube-Puf-Based Anonymous Mutual Authentication Protocol For Internet Of Vehicles	IEEE Internet of Things Journal (2025)
43747	0.87	Awais S.M.; Yucheng W.; Mahmood K.; Akram M.W.; Hussain S.; Das A.K.; Park Y.	Puf-Based Privacy-Preserving Simultaneous Authentication Among Multiple Vehicles In Vanet	IEEE Transactions on Vehicular Technology, 73, 5 (2024)
28720	0.867	Madububa Mbachu U.; Fatima R.; Sherif A.; Dockery E.; Mahmoud M.; Alsabaan M.; Khalil K.	Hardware Acceleration-Based Privacy-Aware Authentication Scheme For Internet Of Vehicles Using Physical Unclonable Function	Sensors, 25, 5 (2025)
35265	0.861	Li X.; Li M.; Xu L.; Xie J.; Shi R.; Feng H.	Lightweight Identity Authentication And Key Agreement Scheme For Vanets Based On Ssl-Puf	Scientific Reports, 15, 1 (2025)
3881	0.854	Mahmood K.; Ferzund J.; Saleem M.A.; Shamshad S.; Das A.K.; Park Y.	A Provably Secure Mobile User Authentication Scheme For Big Data Collection In Iot-Enabled Maritime Intelligent Transportation System	IEEE Transactions on Intelligent Transportation Systems, 24, 2 (2023)
30771	0.852	Safkhani M.; Bagheri N.; Ali S.; Hussain Malik M.; Hassan Ahmed O.; Hosseinzadeh M.; Mosavi A.H.	Improvement And Cryptanalysis Of A Physically Unclonable Functions Based Authentication Scheme For Smart Grids	Mathematics, 11, 1 (2023)
43749	0.851	Lee J.; Oh J.; Kwon D.; Kim M.; Yu S.; Jho N.-S.; Park Y.	Puftap-Iot: Puf-Based Three-Factor Authentication Protocol In Iot Environment Focused On Sensing Devices	Sensors, 22, 18 (2022)