A Reputation-based Dynamic Trust Model in P2P E-commerce Environment

We propose a reputation-based dynamic trust model (RDTM) for the high complexity of trust calculation and vulnerability to malicious node attacks for the traditional P2P e-commerce system. Our model is a comprehensive dynamic trust fusion algorithm with anti-attack ability. We also provide a dynamic calculation method for private reputation and a dynamic calculation method for public reputation using the private reputation of adjacent nodes comprehensively. Our simulation experiments show compared with the traditional trust calculation method and other dynamic trust models, the RDTM model has higher accuracy of trust prediction and predicts node trust degree more effectively, with lower communication costs.