An Innovative Data Integrity Verification Scheme in the Internet of Things assisted information exchange in transportation systems

The internet of things-based transport networks allows consumers to share services from storage to devices to access the internet to other users. Broadcast fundamental safety messages affect operations that need credibility guarantees to prevent unauthorized change, guarantee source validity, and safeguard sensitive information to maintain confidentiality. Integrating vehicular networks and the exchange of information presents the intelligence community with new problems. Hence, in this paper, the Internet of Things Assisted Innovative Data Integrity Verification Scheme (IoT-IDIVS) has been proposed to integrate the transportation system’s data and effectively exchange information. The proposed system aligns GPS data with information about passengers, schedules, and other transportation parameters to preserve relationships and make sense of the vehicle’s reliability. The proposed plan implements data integrity control for the dynamic vehicular cloud with the roadside unit’s help (RSU). The messages downloaded from the car sensors to the server, the authentication process, and data integration have been used for integrity checks. Comprehensive simulations are carried out to validate improved measurement costs and the planned system’s coordination costs. Thus the experimental results show the IoT-IDIVS of packet loss rate of 21.3%, average service delay of 26.9%, data transmission ratio of 95.5%, throughput bit of 92.3%, traffic congestion ratio of 92.6%, the error rate of 17.9%, the successful delivery rate of 92.57% and energy optimization of 97.12% compared to other popular methods.