Security Evaluation Model of Blockchain System Based on Combination Weighting and Grey Clustering

With the widespread application of blockchain technology in social and economic fields, various security challenges have become increasingly prominent and attracted many researchers to work in this domain. To address this issue, we propose a blockchain system security evaluation model based on game theory combination weighting and grey clustering. Considering the correlation between indexes, the security evaluation index system is constructed hierarchically from the technical system framework of blockchain. Then we use the combination weighting algorithm based on game theory to optimize the ratio of subjective and objective weights, and balance the evaluation error caused by the difference between subjective and objective weights to make the weight quantification more scientific and accurate. Finally, the security evaluation level of the blockchain system is determined by grey clustering evaluation method. The effectiveness of this method is verified by our experiments, which provides a useful reference for the security evaluation of blockchain systems.