基于回填算法的网络空间安全态势动态感知方法

Dynamic Perception Method of Cyberspace SecuritySituation Based on Backfill Algorithm

为了提升网络空间安全水平,提出了基于回填算法的网络空间安全态势动态感知方法。在回填算法中引入最早截止时限优先算法与最大权重优先算法,以提升资源利用率。利用改进的黑猩猩算法优化回填算法权重,为网络空间安全态势动态感知任务分配资源。以分配的安全态势动态感知任务资源为数据样本,通过广义径向基函数神经网络输出网络空间安全态势动态感知结果。实验结果表明,该方法可有效降低安全态势动态感知任务资源分配的截止时限错失率,提升网络资源利用率;在不同类型的网络攻击下,该方法可有效地动态感知网络空间安全态势;在不同的认证方式下,该方法的平均相对误差较低。

The dynamic perception method of cyberspace security situation based on backfill algorithm is proposed to improve the level of cyberspace security.In the backfill algorithm,the earliest deadline priority algorithm and the maximum weight priority algorithm are introduced to improve the resource utilization.The modified chimpanzee algorithm is used to optimize the weight of the backfill algorithm,so as to allocate resources for the security situation dynamic awareness task in cyberspace.Taking the assigned security situation dynamic perception task resources as data samples,the results of security situation dynamic perception in cyberspace are output by generalized radial basis function neural network.The experimental results show that this method can effectively reduce the deadline error rate of resource allocation for security situation dynamic awareness tasks and improve the utilization rate of network resources.Under different types of network attacks,this method can effectively dynamically perceive the security situation of network space.Under different network attack traffic,the average relative error of this method is lower.