A False Positive Adaptive Network Security Situation Prediction Method
A technology of network security and prediction method, which is applied in the field of network security situation prediction of self-adaptive false alarm, can solve the problems of ignoring alarm information and loss, and achieves the effect of reducing false alarm rate, enhancing practicability and high reliability
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[0040]The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0041] figure 1 The structural diagram of false alarm adaptive network security situation prediction is given, which mainly includes five parts: security threat alarm event extraction, alarm event false alarm elimination, neural network learning, online prediction and prediction result confirmation, and prediction model adjustment . Security threat alarm event extraction Extracts security threat alarm events from security protection software such as firewalls, network intrusion detection tools, and host intrusion detection tools, and analyzes and extracts information such as the time when the threat occurred, the target IP address and port number, and threat type; alarm Elimination of event false alarms Filter security threat alarm events based on host system and network abnormal information, delete false security threat...
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