Title :
A hierarchical virus immunization method for community networks
Author :
Fu Cai ; Li Min ; Zhang Yunhe ; Zou Deqing ; Han Lansheng
Author_Institution :
Sch. of Comput., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
Due to the enormous harm of virus propagation, research regarding virus immunizations still absolutely necessary. In comparison to current researches, a new virus immunization method the hierarchical virus immunization method (HVIM) for community networks is proposed. Based on the virus transmission dynamic model Susceptible-Infectious-Removed and Susceptible-Removed (SIRSR), HVIM considered the influence of external factors on the spread of viruses and only needs a portion of the network structure to be able to carry out immunization. Another pro for HVIM is that it is scalable and suitable for parallel computing which is a requirement in the big data era. Finally, a simulation dataset and a real dataset were used to run experiments, and the results of simulation showed that HVIM obviously is superior to others on the aspect of immunity.
Keywords :
Big Data; computer viruses; network theory (graphs); parallel processing; HVIM; SIRSR model; big data; community network structure; hierarchical virus immunization method; parallel computing; real dataset; simulation dataset; susceptible infectious-removed and susceptible removed model; virus transmission dynamic model; Big data; Diseases; Hierarchical systems; Immune system; Viruses (medical); Community Networks; Hierarchical Virus Immunization Method (HVIM); SIRSR Model; Virus Propagation;
Journal_Title :
Communications, China
DOI :
10.1109/CC.2014.6969779
