Abstract
When we encounter a malicious rumor or an infectious disease outbreak, immunizing k nodes of the relevant network with limited resources is always treated as an extremely effective method. The key challenge is how we can insulate limited nodes to minimize the propagation of those contagious things. In previous works, the best k immunised nodes are selected by learning the initial status of nodes and their strategies even if there is no feedback in the propagation process, which eventually leads to ineffective performance of their solutions. In this paper, we design a novel vaccines placement strategy for protecting much more healthy nodes from being infected by infectious nodes. The main idea of our solution is that we are not only utilizing the status of changing nodes as auxiliary knowledge to adjust our scheme, but also comparing the performance of vaccines in various transmission slots. Thus, our solution has a better chance to get more benefit from these limited vaccines. Extensive experiments have been conducted on several real-world data sets and the results have shown that our algorithm has a better performance than previous works.
Highlights
To what extent have you been bothered by the outbreak of undesirable things, a contagious disease, computer virus, or malicious rumor, and gone through a difficult time to wait for the constraint of the outbreak? Minimizing the spread of undesirable things is a major problem in Centers for DiseaseControl, Kaspersky, Twitter and Facebook, etc., where management and staff undertake much more responsibility for discovering and controlling the contamination
Once a computer virus was made, it is aiming at the servers which lack specific precautions rather than randomly attack servers, and the propagation of this virus will start from those servers, obviously
This paper introduces Dancing with the propagation virus (DWPV), a dynamic vaccines placement strategy combines the time division into our solution
Summary
To what extent have you been bothered by the outbreak of undesirable things, a contagious disease, computer virus, or malicious rumor, and gone through a difficult time to wait for the constraint of the outbreak? Minimizing the spread of undesirable things is a major problem in Centers for DiseaseControl, Kaspersky, Twitter and Facebook, etc., where management and staff undertake much more responsibility for discovering and controlling the contamination. Minimizing the spread of undesirable things is a major problem in Centers for Disease. Many organizations are looking to address this problem with the distribution of vaccines/patches in the relevant network with a limited budget [1,2,3]. Before the outbreak of H1N1 Flu, American Centers for Disease Control and Prevention(CDC) had centralized the distribution of vaccines for nearly 150,000 sites (hospitals, clinics, health departments), and it had been based on a cautious strategy of distributing the limited budget of vaccines to protect more people from being infected. Current placement strategies of vaccines/patches, are assuming that the initially infected nodes are randomly appearing [4,5,6,7]. Knowing the initially infected nodes as a prior information is indispensable for the rumor control of social
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