Traffic Analysis of a Networks based on Stochastic Geometry to Exclude Malice Flow

作     者：Jiahao Dai Xiaofeng Xu 

作者机构：Science and Technology on Communication Information Security Control Laboratory China Electronic Group Corporation No.36 Institute Zhejiang Jiaxing China 

出 版 物：《IOP Conference Series: Materials Science and Engineering》 

年 卷 期：2018年第466卷第1期

摘      要：Based on stochastic geometry, this paper proposes a mathematical method to estimate the traffic in a D2D based cellular network. The purpose is to determine the normal flow of network to exclude heterogeneous Darknet flow (Tor network). Different from previous work, we assume there are two different kinds of receivers, cellular receivers and D2D receivers, each D2D receiver with its D2D trunking constitutes a D2D pair. We assume that the traffic can be generated in the transmission between a BS and a cellular receiver and that between a D2D trunking and a D2D receiver if and only if the received power is larger than a threshold and the rate in the transmission is above a specified rate. The framework is tractable and able to help us analyze how different parameters influence the network traffic. What s more, we can give the optimal scheme to achieve the maximal network traffic. At the same time, if the results calculated by this paper proposed or traditional formula is not matched, we think that the flow rate may be heterogeneous traffic, such as darknet flow(Tor).