Detection method of active nodes in attacked fiber networks based on hid-den Markov
Traditional detection methods of active nodes in attacked fiber networks are usually passive,which can only analyze the behavior after the attack,resulting in a large difference be-tween the status value of the detected active nodes in the attacked fiber networks and the actual value.Therefore,this paper studies the detection method of active nodes in attacked fiber net-works based on hidden Markov.Firstly,the signal of active node in optical fiber network is de-noised,and the feature vector matrix of active node is generated by the data in the de-noised signal,and the feature fusion of active node is carried out.On this basis,the hidden Markov at-tack detection model is established to locate the active node in optical fiber network under at-tack.The experimental results show that this method is close to the actual state value of active nodes under attack in optical fiber networks,and has higher accuracy and practical application value.
optical fiber network under attackHidden MarkovFiber optic networkActive node detection
NETL
NSTL
万方数据
