A Computation Method for the Value of Globe Trust Based on MAX-MIN Ant System

In the trust model for P2P network, to get the accurate value of global trust is becoming difficult because of the complex of net environment and the dishonest peers. This article proposed the computation method for the value of globe trust based on the MAX-MIN ant system. Through this advanced ant colony algorithm, search several recommendation paths to compute the best global trust valuation from source peer to the destination peer. It uses the MMAS, dynamic adjust the degree of pheromones and the new policy of searching. These measures have strengthened the effectiveness of positive feedback, shortened the time of searching, and speeded up convergence rate. It can improve the accuracy of the global trust valuation using the method that this article mentioned, and reduce the potential safety hazard which the unite cheat behavior brought. Theoretical analysis and simulation show that this method is more efficient than the traditional method, and is better to adapt to the complex network environment.