Research On Online Infecting And Diffusing Process And Locating Of Network Virus

Computer viruses can easily cause damage to people’s use by computer viruses.In view of this situation, people need to create a virus model to study the characteristics of the virus itself, and study its proliferation, in order to effectively prevent its proliferation.The research on the process of the infection of the online virus has obvious advantages in controlling the infection process of the virus.. Model is used to estimate the current situation through the previous evaluation, the more difficult is difficult in the implementation of network modeling in the process of virus invasion intensity to define, due to the disease network generated by intrusion strength can not determine, can only assume the network virus invasion intensity in for a period of time and is interposed between the specific weights, resulting in some errors,resulting in the final estimates of the resulting data values are not precise.Firstly,this paper proposes a network virus intrusion process estimation method based on multistage fuzzy probability. Using the data fusion method for network intrusion and diffusion process of related parameters in real time on line infection fusion, in the way of real-time overlay accurately grasp the invasion of strength characteristics. Set according to the characters of the intensity to set network intrusion factor for fuzzy probability assessment, then to establish online infection diffusion process model of multistage fuzzy probability.Secondly,from the inspiration of the dynamic parameter branching process model, this study proposes an tracking of network virus algorithm that establishing on a connection matrix. Before establishing a connection matrix from captured packets,we did some matrix multiplication to locate the infected computer by virus in LAN.At last, the related experiment was carried out. The experiment section provides the design and implement of the algorithm. Experimental results show that the tracking of network virus algorithm is effective, and improving the accuracy of the estimation. At same time, the results show that the algorithm can instantly and precisely track the computer virus in LAN.