Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study the propagation of a malicious software in a network of mobile devices, which are moving in a specific city area, and establish time bounds for the activation of a counter-measure (i.e., an antivirus or a cleaner) in order to prevent pandemic. More precisely, given an initial infected population (mobile devices),  establish upper bounds on the time needed for a counter-measure to take effect after infection (response-time), in order to prevent a malware pandemic. Thus, within a period of time,  guarantee that not all the susceptible devices in the city get infected and some (or, all) infected ones get sanitized. In our work,  first propose a malware propagation model along with a device mobility model and then, utilizing these models,  develop a simulator that  use to study the spread of malware in such networks. Finally,  provide experimental results for the pandemic prevention taken by our simulator for various response-time intervals.
['Stavros D. Nikolopoulos', 'Iosif Polenakis']
I am writing a research paper on a idea A Model for Establishing Response-time Bounds to Prevent Malware Pandemics in Mobile Devices
[{"from": "human", "value": "I am writing a research paper on a idea A Model for Establishing Response-time Bounds to Prevent Malware Pandemics in Mobile Devices"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study the propagation of a malicious software in a network of mobile devices, which are moving in a specific city area, and establish time bounds for the activation of a counter-measure (i.e., an antivirus or a cleaner) in order to prevent pandemic. More precisely, given an initial infected population (mobile devices),  establish upper bounds on the time needed for a counter-measure to take effect after infection (response-time), in order to prevent a malware pandemic. Thus, within a period of time,  guarantee that not all the susceptible devices in the city get infected and some (or, all) infected ones get sanitized. In our work,  first propose a malware propagation model along with a device mobility model and then, utilizing these models,  develop a simulator that  use to study the spread of malware in such networks. Finally,  provide experimental results for the pandemic prevention taken by our simulator for various response-time intervals."}]