There has been an increasing amount of interest in modeling virus propagation in recent years. However, the group-based infection mechanism of computer viruses is not well understood and the selection of infection fun...There has been an increasing amount of interest in modeling virus propagation in recent years. However, the group-based infection mechanism of computer viruses is not well understood and the selection of infection function in virus propagation modeling has not been well studied. This paper describes a point-to-group （P2G） infection mode to describe virus propagation in networks with information sharing groups. Simulations compare the constant infection and I-type infection functions with the new E-type infection function in the small-world-network environment. The simulation results show that the E-type infection function shows superior performances to that of the traditional I-type infection function in modeling the P2G virus infection mechanism and the I-type infection function shows better performance in modeling the random infection mechanism.展开更多
基金Supported partly by the National Natural Science Foundation of China (Nos.70890080 and 70621061)the MOE Project of Key Research Institute of Humanities and Social Sciences at Universities(No.07JJD630005)Lan Tian Xin Xiu Award of Beihang University (No.221531)
文摘There has been an increasing amount of interest in modeling virus propagation in recent years. However, the group-based infection mechanism of computer viruses is not well understood and the selection of infection function in virus propagation modeling has not been well studied. This paper describes a point-to-group （P2G） infection mode to describe virus propagation in networks with information sharing groups. Simulations compare the constant infection and I-type infection functions with the new E-type infection function in the small-world-network environment. The simulation results show that the E-type infection function shows superior performances to that of the traditional I-type infection function in modeling the P2G virus infection mechanism and the I-type infection function shows better performance in modeling the random infection mechanism.
