大数据下移动网络信息传输安全防御仿真

摘要

对大数据下移动网络信息传输的安全防御,能够有效提高移动网络运行安全性.对大数据下移动网络入侵的主动防御,需要移除攻击源中的原子攻击,切断攻击路径阻止入侵,赋予防御策略权值.传统方法组建网络入侵信号攻防博弈权重表,评估主动防御策略概率,但忽略了赋予改策略相应权值,导致防御效果较差.提出大数据下移动网络信息入侵主动防御方法,借鉴FSM主动防御模型和P2DR自适应网络安全模型精于对移动网络信息入侵攻击源的捕获和分析,提取出攻击源信息,从防御者角度出发通过移除攻击源信息集合中的原子攻击来切断攻击路径阻止入侵,赋予策略权值是通过防御策略集体现的实施策略的效果,用最小的效果阻止网络入侵,采用较少的粒子和较多的迭代次数来求防御策略集的最优解.仿真证明,利用上述方法具有良好的自我防护能力和攻击阻断能力.%This article proposes an active defense method for invasion of mobile network information under big data.The model of FSM active defense and P2DR adaptive network security is used to capture and analyze source of attack of the invasion,then information of the source of attack is extracted.The intrusion route is cut off,and the invasion is prevented via removing atomic attack in set of the source of attack.The weight strategy is given via effect of operation strategy reflected by set of defense strategy,and the minimum effect is used to prevent network invasion.Thus,the optimal solution of the set of defense strategy is obtained using fewer particles and more numbers of iterations.Simulation proves that the method has good ability of self-protection capability and attack prevention.