Cache Poisoning Prevention Scheme in 5G-enabled Vehicular Networks: A Tangle-based Theoretical Perspective

The modern day traffic continues to evolve in terms of scale, autonomy and access to information. Every vehicle gathers information and contributes its decisions to the global vehicular network every second. With the advent of 5G equipped digital communication and sophisticated algorithms are in place for the vehicles to communicate with each other in a closely monitored, yet decentralized network, there is a need to ensure that no form of incorrect data be propagated without prior validation. There is also a requirement of maintaining cache since there is no centralized network where all vehicles report their activities and gather information from, at a required speed. The distribution of cache is a major hurdle both in terms of validation and propagation. Cache poisoning can occur if a malicious vehicle or a compromised vehicle intentionally or unintentionally puts incorrect data and other vehicles use that data to skew their own future decisions. In this paper, we explore different methodologies to address and combat the cache poisoning scenarios and suggest an efficient and secure scheme for validation and distribution of cache using the Directed Acyclic Graph (DAG) based ledger, which is based on Tangle™.