Double Layered Blockchain-based trust model for secure interest and data forwarding in Vehicular Information Centric Network

Abstract

Vehicular Information Centric Networks(V-ICNs) which is an alternate to the traditional Vehicular Adhoc Networks (VANETs) is proposed to enable the content-based addressing instead of IP based data access to improve the efficiency of the Vehicular Network. V-ICN is more susceptible to security attacks from several sources because of its wireless, heterogeneous connection style and highly dynamic architecture. In contrast to entity-based security authentication, it is crucial to think about how to safeguard the data’s security. Although reputation based quantification has been used in state-of-the-art research to assess the dependability of interactive data, there are still some problems with the design of safe reputation management systems. This result in low efficiency, inadequate security and unreliable administration. The Double Layered Blockchain (DLB) technique for communication security in vehicle Information-Centric Networks will be presented in this study. It will take into account of both the worldwide reputation of vehicle chain and the one-day local information chain. In this, each vehicle’s activities that are documented in the Local One-day Message Blockchain (LOMB) will be used to update the reputation score of the vehicles on a regular basis. In addition, the proposed work would also include a Secured Neighbourhood Recognition Protocol (SNRP) to introduce flexible connectivity among the vehicle nodes and the blockchain network. Based on the Experimental Analysis, the proposed methodology is outperformed in comparison with the existing models in terms of network throughput, interest success rate, varying interest generation rate and the interest success rate.