VaccineChain: A checkpoint assisted scalable blockchain based secure vaccine supply chain with selective revocation

Area of Science:

• Computer Science
• Information Security
• Supply Chain Management

Background:

• Vaccine safety is critical for global health, yet traditional supply chains face challenges with record forgery and counterfeit vaccines.
• Existing vaccine supply chains lack adequate authentication mechanisms, increasing vulnerability to fraud.
• Blockchain technology presents a potential solution for secure and transparent vaccine supply chains.

Purpose of the Study:

• To introduce VaccineChain, a novel checkpoint-assisted scalable blockchain model for secure vaccine supply chains.
• To address the scalability and security limitations of current blockchain technology in the context of vaccine distribution.
• To ensure the integrity and immutability of vaccine supply records and combat counterfeit vaccines.

Main Methods:

• Development of VaccineChain, a blockchain-based model featuring checkpoint assistance and a dynamic consensus algorithm.
• Implementation of anonymous authentication for selective revocation and customized transaction rules.
• Utilization of smart contracts and theoretical security proofs for validation and performance analysis.

Main Results:

• VaccineChain guarantees the integrity and immutability of vaccine supply records, effectively combating counterfeit vaccines.
• The dynamic consensus algorithm and checkpoint assistance ensure efficient scalability.
• Security analysis confirms the computational infeasibility of attacks, and performance analysis demonstrates practicability.

Conclusions:

• VaccineChain provides a robust and scalable solution for securing vaccine supply chains against counterfeiting.
• The model enhances trust and transparency in vaccine distribution, crucial for public health.
• This blockchain-based approach is a viable next-generation framework for pharmaceutical supply chain management.