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The interaction propagations between multiple pathogens can change propagation threshold and steady-state density of each other. This provides a new thinking of the virus immune method. This paper developed an interaction spread model between viruses and immune agents using compartment theory on the double coupling networks and proposed the evaluation indexes of immune effect. The immune agents could spread in host group just as the viruses do. Each node infected by immune agents would be free from viruses and propagate immune agents to its neighbor nodes with some probability. Viruses and immune agents may spread in the same host group but different transmission pathway. Simulation experiments show that immune transmissions reduce significantly the range and speed of virus transmissions on the synthetic networks and real networks. There are ideal immune parameters with low resource consumption and highly immune effect. The spread method of immunization a-gents can bring obviously immune effects on the virus prevention. [ABSTRACT FROM AUTHOR]

For the purpose of assessing vulnerabilities more effectively, from the vulnerability availability, this paper analyzed the shortcomings of common vulnerability scoring system(CVSS) as the evaluation indicators based on the vulnerability correlation assessment method. Meanwhile, on the basis of the improved CVSS evaluation indicators, this paper put forward a more sensible vulnerability availability evaluation system and promoted the original vulnerability assessment method. This method also mines its own characteristics of vulnerability effectively, assesses vulnerability scientifically and verifies its rationality and validity by experiments. [ABSTRACT FROM AUTHOR]

In order to enjoy location-based services without leaking the users' location information to untrusted location service provider, k-anonymous location privacy protection had been well studied. However, for the original k-anonymity algorithm, all users' location privacy would be leaked when the centralized anonymizer was controlled by hackers, and the network load was very heavy when making k-nearest neighbor inquiries; for the SpaceTwist algorithm, it could not guarantee k-anonymity. This paper proposed an incremental KNN query algorithm based on the grid of latitude-longitude for location privacy protection, it came from the classical k-anonymity algorithm hybridized with the SpaceTwist algorithm, using the grids of latitude-longitude instead of the precise coordinates reported to centralized anonymizer, and thus it could solve the above problems. Experiments show that the algorithm can save the network traffic between the anonymizer and the location service provider's servers. [ABSTRACT FROM AUTHOR]