Simulation of Anti-malware User Support System Using Queuing Network Model

With the increasing number of new malware programs, traditional malware detection approaches depending on signature files have been less effective, as it is quite difficult for anti-virus vendors to keep up with the frequent appearance of new malware programs. To address this problem, a system called Anti-malware User Support System, which detects malware files using dynamic analysis and remove them from user PCs, is developed. In this paper, we model this system as a queuing network model. Then, using this model, we evaluate the performance of Anti-malware User Support System against the large scale malware epidemics.