Low-power secure caching strategy for Internet of vehicles

With the explosion of data in the Internet of vehicles, large power consumption, low quality of service, and content delivery security issues have been brought. To solve these problems, a secure caching strategy based on content and resource allocation is proposed. Firstly, the caching optimization problem is formulated as a power consumption minimization problem with vehicle rate and resource constraints. Then, considering the characteristics of the content placement and content delivery, the power consumption optimization problem is decomposed into two sub-problems. The first sub-problem researches the impacts of vehicle preferences and content sizes on cache decisions, and a content popularity and size-aware caching strategy is proposed. The second sub-problem researches the effects of wireless resources on transmission power consumption, and an efficient content delivery strategy by iterative bandwidth and power allocation is proposed. After obtaining the optimal caching strategy, this paper combines the use of improved elliptic curve cryptography and advanced encryption standard algorithms to perform content secure placement. Simulation results demonstrate that the proposed strategy can significantly improve the power consumption and caching hit rate compared with benchmark schemes.