Design of sensitivity for Direct Trust computation model in trusted networks

Current DTD (Direct Trust Degree) model for trusted networks cannot keep sensitive to variations of interaction results between nodes. To describe the direct trust relationship scientifically, a sensitive DTD model is proposed. It includes a stable part and a sensitive part. The stable part uses a window to obtain DTD from many history direct interaction proofs. To describe the attenuation feature of trust value, an attenuation coefficient is proposed. The sensitive part effects to DTD in space field and time field. And the sensitivity is not symmetrical to variation of interaction results. It only responds to negative variations. A balance coefficient is to balance the stability and the sensitivity of DTD computation result. Simulation experiments prove performances of the proposed DTD quantification model.