Distributed Machine Learning Architecture for Security Improvement in Computer Drafting and Writing in Art Asset Identification System

Art asset identification service is becoming increasingly important in the art market, where value of assets constantly changing. The provides authentication, evaluation, and provenance research for artworks, which helps collectors institutions to protect their investments ensure authenticity collections. effective management big data critical service, there are several technologies that can be achieved. To improve security Management model uses Distributed Associative Rule Mining implemented with Hashing based Symmetric Key Cryptography. designed comprises Associate (ARHSK). proposed ARHSK symmetric key generated hashing secure assets. With information stored processed features. performance machine learning classification. Simulation analysis expressed exhibits an improved classification accuracy 99.67% ~13% higher than CNN ANN models.