Blockchain Facilitated Protection and Safety in Cyberphysical Systems from Defective Sensors

The cyber physical systems (CPS) are linked to a range of sensors, the data from which is used for decision making and real-time operation. With the introduction of Industry 5.0, which enables human-focused processing, protection has become a vital aspect for real-time cyber physical systems, since a flaw in its operation might have disastrous implications. Thus the data collected from malfunctioning or malicious nodes might stymie decision-making and jeopardise the overall system environment. As a result, it is critical to assure the system's security and dependability in real time. Furthermore, maintaining track of the data records on which real-time systems operate is critical, since such records will not only help in decision making. Along with, it also aids in the detection of malicious sensor nodes. We propose a blockchain-based security and dependability method to do this. All sensors conform to RAFT consensus in this process, and only transactions accepted by all sensor nodes are kept in the Hyperledger Fabric (HLF) ledger and Vault. This is subsequently delivered to all of the peer nodes that are registered in the private network channel for a certain organisation. This helps discover defective sensor nodes and separate their data, improving system security and dependability. In comparison to the previous study, our technique has a high throughput and low latency in sensor fault mitigation. Additionally, implementing blockchain provides increased security, dependability, and privacy to the sensor cluster and organisational channels.