A Multi-Key Weighted Decision Outsourcing Scheme

Abstract

The entropy weight method is a multi-criteria decision analysis approach that calculates the entropy value of each criterion and then conducts a full review of numerous criteria. However, the data indications used in the weight computation frequently contain sensitive information about the individuals. Data owners are reluctant to share data with others due to privacy concerns, but they are prepared to collaborate on data analysis. One of the most prominent techniques for addressing privacy concerns is to utilize public-key encryption for user data. Using the same public key for encryption, on the other hand, involves concerns. Each user should have their own public-private key pair, which is a more trustworthy technique. This work describes a unique multi-key-based weighted decision-making strategy that uses the DT-PKC multi-key cryptosystem to safeguard each user's privacy. The suggested technique involves only one round of user-cloud interaction, significantly lowering user-side computational cost. The entropy weight method is used to calculate weight in an efficient and succinct manner. The suggested approach is both efficient and secure, according to theoretical research.