Development of a Blockchain-Based Information Protection System with Hybrid R-Snowball Algorithm in a Biofuel Supply Chain

초록

The biofuel supply chain is a complex value chain spanning from production to consumption. Manipulating information such as geographical origin, raw material type, and quantity at the production stage can disrupt refinery production plans and cause supply-demand imbalances. Therefore, a transparent traceability system is essential. The existing centralized database architecture poses a high risk of supply chain service suspension due to even a temporary fault in the central server, and it lacks resilience. Furthermore, it is vulnerable to data forgery, making it urgent to secure information integrity. To resolve these issues, this study proposes a blockchain-based biofuel supply chain information protection system. This system utilizes Shamir's Secret Sharing algorithm to distribute data location information across all nodes and introduces the R-snowball consensus algorithm, which combines the reputation score of nodes with the random sampling of Snowball. The system aims to secure resilience in the event of a failure, achieve reputation-based security, and provide preliminary evidence of robustness against internal and external threats under the tested conditions. Experimental results demonstrated that the proposed system achieved an average recovery time of within 0.03 s, regardless of the load volume. Furthermore, preliminary evidence under the tested conditions suggests that the security and robustness of the system were supported through the exclusion of internal malicious nodes via a reputation-based penalty logic, the defense against main chain takeover attempts in external attack scenarios involving multiple fake nodes (Sybil nodes), and the maintenance of consistent consensus times.

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