Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Realistic models for worm propagation in the Internet have become one of the major topics in the academic literature concerning network security. ,  propose an evolution equation for worm propagation in a very small number of Internet hosts, hereinafter called a subnet and introduce a generalization of the classical epidemic model by including a second order spatial term which models subnet interactions. The corresponding gradient coefficient is a measure of the characteristic scale of interactions and as a result a novel scale approach for understanding the evolution of worm population in different scales, is considered. Results concerning random scan strategies and local preference scan worms are presented. A comparison of the proposed model with simulation results is also presented. Based on our model, more efficient monitoring strategies could be deployed.
['Markos Avlonitis', 'Emmanouil Magkos', 'Michalis Stefanidakis', 'Vassilios Chrissikopoulos']
I am writing a research paper on a idea A spatial stochastic model for worm propagation: scale effects
[{"from": "human", "value": "I am writing a research paper on a idea A spatial stochastic model for worm propagation: scale effects"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Realistic models for worm propagation in the Internet have become one of the major topics in the academic literature concerning network security. ,  propose an evolution equation for worm propagation in a very small number of Internet hosts, hereinafter called a subnet and introduce a generalization of the classical epidemic model by including a second order spatial term which models subnet interactions. The corresponding gradient coefficient is a measure of the characteristic scale of interactions and as a result a novel scale approach for understanding the evolution of worm population in different scales, is considered. Results concerning random scan strategies and local preference scan worms are presented. A comparison of the proposed model with simulation results is also presented. Based on our model, more efficient monitoring strategies could be deployed."}]