A Framework for User-Centric Visualisation of Blockchain Transactions in Critical Infrastructure

Ensuring the reliability and integrity of data, command and control in critical infrastructure is becoming challenging. The evolving technologies like 5G, Artificial General Intelligence, and edge computing increase the attack vector in critical infrastructure. A trusted exchange of information among anonymous participants may become possible using Blockchain technology. Decentralised peer-to-peer communication combined with cryptographic mechanisms in Blockchain enhances the integrity and the authenticity of the data shared among entities in smart critical systems. However, the pseudo-anonymous nature of the blockchain may be exploited by adversaries. This increases the threat to accountability and attribution of malicious activities. Visualisation tools may be used as an aid to alleviate such challenges. The existing tools concentrate on tabular or line-based representations without the full potential of visual exploration. This paper proposes a framework for the usercentric visualisation of blockchain transactions. The framework integrates the transaction data, expert domain knowledge, and user feedback to identify malicious or anomalous events. This facilitates tracking crime data movements and locating potential disruption points in critical infrastructures.