Detection Method of Abnormal Data Attack in Communication Network Based on Data Mining
The conventional methods for detecting abnormal data attacks in communication networks mainly rely on analyzing data distribution characteristics,which cannot effectively detect low dimensional abnormal data and may affect network communication security.Therefore,the article designs a communication network anomaly data attack detection method based on data mining.This method extracts attack features from abnormal score data and constructs an abnormal data attack detection model.Using the attack vector of incomplete communication network information constructed,determine the abnormal data attack area and non attack area.Convert communication network abnormal data into network packets,arrange detection order according to timestamps,and form network abnormal data attack detection rules based on attack characteristics to achieve accurate detection of network abnormal attacks.Through comparative experiments,it has been verified that this method has high detection accuracy and certain application value.
data miningcommunication networkabnormal dataattack detection method
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