Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Literature in malware proliferation focuses on modeling and analyzing its spread dynamics. Epidemiology models, which are inspired by the characteristics of biological disease spread in human populations, have been used against this threat to analyze the way malware spreads in a network. This work presents a modified version of the commonly used epidemiology models Susceptible Infected Recovered SIR and Susceptible Infected Susceptible SIS, which incorporates the ability to capture the relationships beten nodes within a network, along with their effect on malware dissemination process. Drawing upon a model that illustrates the network’s behavior based on the attacker’s and the defender’s choices,  use game theory to compute optimal strategies for the defender to minimize the effect of malware spread, at the same time minimizing the security cost.  consider three defense mechanisms: patch, removal, and patch and removal, which correspond to the defender’s strategy and use probabilistically with a certain rate. The attacker chooses the type of attack according to its effectiveness and cost. Through the interaction beten the two opponents  infer the optimal strategy for both players, known as Nash Equilibrium, evaluating the related payoffs. Hence, our model provides a cost-benefit risk management framework for managing malware spread in computer networks.
['Theodoros Spyridopoulos', 'Konstantinos Maraslis', 'Alexios Mylonas', 'Theo Tryfonas', 'George C. Oikonomou']
I am writing a research paper on a idea A Game Theoretical Method for Cost-Benefit Analysis of Malware Dissemination Prevention
[{"from": "human", "value": "I am writing a research paper on a idea A Game Theoretical Method for Cost-Benefit Analysis of Malware Dissemination Prevention"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Literature in malware proliferation focuses on modeling and analyzing its spread dynamics. Epidemiology models, which are inspired by the characteristics of biological disease spread in human populations, have been used against this threat to analyze the way malware spreads in a network. This work presents a modified version of the commonly used epidemiology models Susceptible Infected Recovered SIR and Susceptible Infected Susceptible SIS, which incorporates the ability to capture the relationships beten nodes within a network, along with their effect on malware dissemination process. Drawing upon a model that illustrates the network\u2019s behavior based on the attacker\u2019s and the defender\u2019s choices,  use game theory to compute optimal strategies for the defender to minimize the effect of malware spread, at the same time minimizing the security cost.  consider three defense mechanisms: patch, removal, and patch and removal, which correspond to the defender\u2019s strategy and use probabilistically with a certain rate. The attacker chooses the type of attack according to its effectiveness and cost. Through the interaction beten the two opponents  infer the optimal strategy for both players, known as Nash Equilibrium, evaluating the related payoffs. Hence, our model provides a cost-benefit risk management framework for managing malware spread in computer networks."}]