Computer Vision Mapping for Parking Space Counter

Abstract

The separation of the control plane from the data plane in a blockchain-enabled software-defined network (SDN) has emerged as a promising solution in the industry for optimising network traffic management. This approach provides network administrators with enhanced flexibility and efficiency in managing network traffic. However, SDN also presents new security challenges, such as denial-of-service (DoS) attacks and a single point of failure. To mitigate these attacks in real-time, blockchain uses a distributed network of nodes to verify transactions, which are then added to an immutable ledger. However, deploying SDN blockchain in resource-constrained devices with issues such as efficient energy utilisation, huge data processing, and minimised end-to-end delay is challenging. In this work, we discuss a hierarchical architecture for secure and efficient deployment, as well as a task offloading strategy that aims to improve the efficiency of resource-constrained edge devices by utilising a centralised algorithm for low latency, secure, and reliable decision-making. To maintain the confidentiality of the information and prevent unauthorised access, it is recommended to encrypt data before storing it in blocks. Finally, enforcing flow rules in the network at a granular level provides a secure and tamper-proof record of the rules enforced in the switches. These methods can enhance the adaptability of blockchain-based SDN in resource-constrained network devices compared with existing methods.