@article{YUAN2009, 
author = {Hua YUAN and Junjie WU and Guoqing CHEN},
title = {Infection Functions for Virus Propagation in Computer Networks: An Empirical Study},
year = {2009},
journal = {Tsinghua Science and Technology},
volume = {14},
number = {5},
pages = {669-676},
keywords = {computer virus propagation, infection mode, point-to-group propagation, small-world-network},
url = {https://www.sciopen.com/article/10.1016/S1007-0214(09)70133-6},
doi = {10.1016/S1007-0214(09)70133-6},
abstract = {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.}
}