Anomaly Detection Based on Dual-threaded Blockchain in Large-scale Intelligent Networks

This paper proposes a dual-threaded blockchain-based architecture to detect large-scale intelligent network abnormalities. Anomaly detection is then implemented using an adaptive encoder. The simulation results show that the proposed anomaly detection scheme achieves efficient anomaly detection while reducing latency and improving throughput.