Analyzing Enterprise Asset Structure and Management Capability Using Cloud Computing and Industrial Enterprise Financial Accounting Cost Accounting Methods

It addresses critical challenges, including low accuracy, inefficiency, and data leakage prevalent in enterprise financial cost accounting. The study proposes a multi-user cloud financial data privacy protection and classification model based on Support Vector Machine (SVM) techniques.

Initially, the model preprocesses financial data and employs a distributed two-trapdoors public-key cryptosystem (DT-PKC) for encryption, ensuring secure data uploads to the cloud platform. Subsequently, it manages multi-user keys via a trusted third-party key distribution center, thereby reducing communication costs and enhancing privacy protection. The SVM model is then extended into the encrypted domain, utilizing user public keys to safeguard sensitive information from leakage.