DDoS attack detection method for hospital communication network based on Hidden Markov model
The conventional structure of DDoS attack detection matrix is generally set as inde-pendent form,which limits the expansion of attack detection scope,and thus reduces the recall rate of DDoS attack detection.Therefore,this paper proposes a method for DDoS attack detec-tion of hospital communication network based on hidden Markov model.According to the cur-rent determination requirements and standards,the method first extracts the features of DDoS attacks.Later,the detection matrix is designed by a multi-objective way to analyze the specific location of the attack direction and the attack range of DDoS.Based on this,the DDoS attack detection model of hidden Markov hospital communication network is constructed,and the de-tection target of DDoS attack is realized by multi-factor identification+combination process-ing.Final test results show that the design of the hidden Markov model communication net-work DDoS attack detection team finally concluded that DDoS attack detection recall can reach more than 80％,in the hidden Markov model assisted,for the hospital communication network attack detection efficiency is higher,generalization ability increased significantly,has the prac-tical application value.
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