开放式网络交互信息敏感度准确度量仿真

Open network interaction information sensitivity accurate measurement simulation

针对当前网络信息敏感度度量研究成果存在准确性差和复杂度高的问题,提出基于DS的开放式网络交互信息敏感度准确度量方法。引入时间维状态,由认知层角度出发,依据刻画网络终端节点行为模式判断信息状态,并与原来信息防御系统结合,分别从信息增益、信息状态空间和网络影响方面度量信息在网络中整体效应,实现交互信息整体状态描述。依据信息状态描述,对信息属性实行量化标度,对量化之后的标度值实行标准化操作,得到无量纲化取值,消除不同操作语义作用下信息属性值和量纲引起的敏感度影响程度差异。将交互信息划分成正情感极性与负情感极性,通过敏感关键词分布特性得到包含负情感极性的信息内容敏感度比较高的结果,据此结果获得敏感关键词对于信息情感极性产生的动力因素,将信息状态描述和信息标准化引至信息敏感度评估中,构建信息敏感度度量模型,完成交互信息敏感度准确度量。实验结果表明,该方法度量准确率高、复杂度低,具有可行性。

Due to poor accuracy and high complexity of current network information sensitivity measurement,this paper proposed an accurate measurement method for open network interaction information sensitivity based on DS.Firstly,the time dimension state was introduced.From the perspective of cognitive layer,the information state was judged according to the behavior pattern of network terminal node.Combined with the original information defense system,the overall effect of information in the network was measured from the aspects of information gain,information state space and network influence,so as to achieve the overall state description of interaction information.According to the description of information state,the quantization scale was applied to the information attribute,and then the scale value was standardized to obtain the nondimensionalization value.Moreover,the difference of influence level of sensitivity degree caused by information attribute value and dimension under different operational semantics was eliminated.After that,the interactive information was divided into the positive sentiment polarity and negative sentiment polarity,and the result with high sensitivity of information content and positive sentiment polarity was obtained through the sensitive keyword distribution characteristic.According to this result,the dynamic factors generated by sensitive keywords for the information emotional polarity were obtained.Finally,the information state description and information standardization was introduced into the information sensitivity assessment,so as to construct the information sensitivity measurement model.Thus,the accurate measurement of interaction information sensitivity was completed.Simulation results prove that the method has high accuracy and low complexity.Thus,this method is feasible.