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A Blockchain Secured Pharmaceutical Distribution System to Fight Counterfeiting.
Kavyan Zoughalian1, Jims Marchang2, Bogdan Ghita3
1Computing Department, Sheffield Hallam University, Sheffield S1 1WB, UK.
Blockchain technology enhances pharmaceutical supply chain transparency and drug security. This study proposes a novel prototype using zero-knowledge proofs and a Markov model to improve data integrity and node reliability, addressing current system limitations.
Area of Science:
- Pharmaceutical supply chain management
- Blockchain technology applications
- Information security in healthcare
Background:
- Drug counterfeiting is a significant global issue.
- Current pharmaceutical distribution systems lack transparency.
- Blockchain technology offers potential solutions for supply chain integrity.
Purpose of the Study:
- To explore blockchain-based solutions for pharmaceutical distribution.
- To identify limitations in existing blockchain proposals, specifically data secrecy and node reputation.
- To propose a novel prototype addressing these identified gaps.
Main Methods:
- Literature review of current blockchain solutions for pharmaceutical distribution.
- Development of a prototype utilizing zero-knowledge proof for data integrity.
- Implementation of a Markov model to assess and track node reputation scores for reliable decision-making.
Main Results:
- The proposed prototype enhances data confidentiality, integrity, and availability.
- Zero-knowledge proofs ensure the integrity of distributed data.
- The Markov model effectively predicts node reliability for consensus decision-making, improving system security.
Conclusions:
- The decision-making protocol is crucial for reliable blockchain-based distribution systems.
- Pharmaceutical distribution systems should adopt relevant protocols for blockchain implementation.
- Further research is recommended to enhance the performance and reliability of blockchain in distribution systems.
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