无线传感器网络的身份认证体系研究

Research on the Identity Authentication System of Wireless Sensor Network

针对传统的BP神经网络所具有的算法收敛速度慢、容易陷入局部极小等固有缺陷,文章提出了一种优化改进算法的BP神经网络,并利用其构建了分布式入侵检测模型。通过仿真实验证明,该入侵检测模型不仅具有良好的全局搜索能力,而且算法收敛速度较快,具有极佳的入侵检测效果。

Research found that the traditional BP neural networks, the algorithm adopted by the slow convergence speed and easy to fall into local minimum inherent defects. This paper proposes a optimization algorithm for BP neural networks, and create a distributed intrusion detection model. Through the simulation experiments show that this model not only has good global search ability, and the algorithm convergence speed faster, intrusion detection has excellent effect.