电力信息网络安全态势评估方法

电力信息网络安全态势评估是当今网络安全领域研究中的热门领域.但现有基于神经网络的网络安全态势评估方法效率较低,且容易陷入局部最优导致评估精度不高.提出一种改进人工蜂群优化神经网络的网络安全态势评估方法.首先,通过引入混沌序列改进人工蜂群算法提高蜂群的多样性,使其具备更强大的全局搜索能力.然后,利用改进的蜂群算法代替反向...

Research on Network Security Situation Assessment Method of Power Information System

The network security situation assessment (NSSA) of power information system receives much attention in the field of network security research. However, the current neural network-based security situation assessment method is inefficient and easy to fall into local optimum, which results in the low assessment accuracy. This paper proposes a new NSSA method based on neural network which is optimized by an improved artificial bee colony (IABC) algorithm. Firstly, the chaotic sequence is introduced to ABC algorithm to improve the diversity of bee colonies, which can make ABC algorithm jump out of local optimum more easily. Then, the IABC algorithm is used to optimize the weight parameters of the neural network instead of the back propagation algorithm. Finally, the new method carries out a security situation assessment for a real network attack of power information system. Compared with the traditional assessment method, the method based on IABC and neural network improves the accuracy of NSSA and accelerates the convergence.