摘要
为了检测IMS网络中的SIP洪泛攻击,提出一种基于BP神经网络的洪泛攻击检测方法,并分析产生SIP洪泛攻击的原因,由此确定BP神经网络特征输入量,仿真试验结果表明该方法具有较好的检测性能。
In order to detect the SIP flooding attacks in IMS network, proposes a flooding attack detection method based on BP neural network, and analyses some typical SIP flooding attack modes, and thus determine the BP input of the neural network characteristics.The simulation results show that this method has better detection performance.
出处
《现代计算机》
2013年第22期16-19,共4页
Modern Computer
关键词
IMS
SIP
洪泛攻击
BP神经网络
BP算法
IMS（IP Multimedia Subsystem）
Session Initiation Protocal
Flooding Attacks
BP Neural Network
BP Algorithm
