A Secured Data Delivery and Validation Model for Information-Centric Vehicular Cloud Network

Road-safety data in Vehicular Ad Hoc Networks (VANETs) is becoming increasingly complex and diverse which leads to major challenges such as security flaws, ineffective data transmission, and risk of single-point failures. To address these issues, the Information-centric Vehicular Cloud (IVC) network has been adopted to secure data transactions. However, existing IV-based approaches still suffer from high latency and low Packet Delivery Ratio (PDR), which negatively impact the system performance. To overcome these limitations, the research proposed an efficient and secure data validation technique for VANETs. Vehicles generate various types of road safety data, which are transmitted to the destination via unicast forwarding. Caching vehicles are used to store frequently requested data to reduce latency and improve access speed. Also, a probabilistic data verification strategy is implemented, where vehicles verify transient data packets with a certain probability and exchange verification output to enhance accuracy. Each content provider signs the data and attaches verification metadata before transmission, which enables intermediate nodes to validate the content in transit. At the network edge, a Randomized Independent Verification Protocol (RIVP) with a Bloom filter is proposed to rapidly verify content authenticity, even when the complete verification information is embedded in the data itself. Experimental output illustrates that the proposed technique achieves a verification accuracy of 98.95% and a low verification overhead of 1.629%, which outperforms the existing method in terms of both security and efficiency.