Design of Anomaly Detection and Visualization Tool for IoT Blockchain

Abstract

This paper proposes and implements a method to verify the blockchain healthiness and to detect a malicious node using data collected from the IoT blockchain such as the transaction generation interval, the blockchains generation rate, and the statistics of IoT data stored in the blockchain. Furthermore, this paper proposes, designs, and implements a visualization tool to efficiently monitor the blockchain healthiness and IoT data in a consistent view via visualization of real-time blockchain update events, blockchain network statistics, and finally the IoT sensing data stored in blockchain as a transaction.