混合光纤网络伪装危险数据有效识别技术研究  

Study on effective identification technology of masquerading hazard data in hybrid fiber network

作　　者：韩存鸽 HAN Cunge(College of Mathematics and Computer Science, Wuyi University, Wuyishan Fujian 354300, China)

机构地区：[1]武夷学院数学与计算机学院,福建武夷山354300

出　　处：《激光杂志》2019年第4期108-112,共5页Laser Journal

摘　　要：传统二次方概率法对混合光纤网络伪装危险数据的处理能力较弱,存在滞后性高以及有效识别精度低的弊端,因此,提出混合光纤网络伪装危险数据的有效识别方法,设计混合有效识别方法运行流程图,其先采用基于支持向量机的混合光纤网络伪装危险数据有效识别方法,对混合光纤网络的伪装危险数据实时检测,再通过基于优化粒子群算法的网络伪装危险有效识别方法,实现混合光纤网络入侵信号的粒子群优化聚类后,定位分离混合光纤网络伪装危险数据,准确有效识别出混合光纤网络的伪装危险数据。实验结果说明,所提方法有效识别效率高,漏报率和代价比低。The traditional quadratic probability method has the disadvantages of weak processing ability of the hybrid fiber network disguised dangerous data, high hysteresis, and low effective identification accuracy. Therefore, an effective identification method of the hybrid fiber network camouflage hazard data is proposed and a hybrid effective identification method is designed. Operation flow chart, which first uses the method of effective recognition of dangerous data of hybrid fiber networks based on support vector machines to detect the disguised hazard data of mixed fiber networks in real time, and then implements a method for effective identification of network camouflage hazards based on an optimized particle swarm optimization algorithm. After the PSO of the fiber network intrusion signals is clustered, the hybrid fiber network is located and separated to disguise the dangerous data, and the camouflage dangerous data of the hybrid fiber network is accurately and effectively identified. Experimental results show that the proposed method is effective in identifying high efficiency, low reporting rate and cost ratio.

关 键 词：混合光纤网络 特定犯罪 伪装危险数据 支持向量机 优化粒子群 有效识别 

分 类 号：TN91[电子电信—通信与信息系统]