Research On The Risk Of Propagation Of Virus In Dynamic Social Network

With the development of the wireless network, the propagation of the virus in thewireless network has become a popular research direction. There are two kinds of virusone is MMS virus (the one propagation by message) the other is Proximity malware (theone propagation through wifi, Bluetooth and so on). This paper mainly researches theProximity malware which spreads through Bluetooth. The characteristic of thepropagation of this virus is topology of the network which the virus use is changing almostevery time. So the past research based on fixed network topology is not adaptive in thisproblem.There are two kinds of idea in defense of the propagation of virus: one is finding somespecial nodes which can immunize the virus to restrain the malware, another idea is tofinding some nodes which can pass the anti-virus message as soon as possible. In thispaper we present a new thinking of the propagation of the virus. We consider the impact ofthe network topology. Through the structure of the network, we can assess the risk of thevirus in this network topology. We can reduce the risk of the virus in preset the structure ofthe network in critical location.In this paper we first describe the research, background, significance and limitationsof the existing research. We propose a new method which research on the risk ofpropagation of virus in Dynamic Social Network.The main works of this paper are: First we propose a framework which can quantifythe basic structure of the community and the effect of the structure in propagation of thevirus. Second, we propose an algorithm which can calculate the risk of the dynamicnetwork easily. Last we proof a quantitative relationship between the risk of the virus andthe community structure.