Video network security risk prevention system and method

Abstract

The invention discloses a video network security risk prevention system and method, the video network security risk prevention system comprises video honeypots deployed in video network devices and advanced security honeypots deployed on a management platform, the video honeypots detect attack behaviors, and if the video honeypots can be virtually executed successfully, the video honeypots will not execute the attack behaviors; if yes, sending echoes of successful virtual execution to the attacker, and otherwise, uploading attack behaviors which cannot be successfully executed virtually to the advanced security honeypot; and the advanced security honeypot receives the attack behavior uploaded by the video honeypot, performs virtual execution, and replies echoes of successful virtual execution to the video honeypot, so that the video honeypot sends the echoes to an attacker. According to the invention, the video honeypot is deployed on the video network equipment, low-cost and large-scale batch deployment can be realized, the network bottleneck is not caused, the large-scale video honeypot and the advanced security honeypot are adopted to form the echelon honeypot system, and the security protection performance is high.

Description

technical field [0001] The present application belongs to the technical field of network security risk prevention, and in particular relates to a video network security risk prevention system and prevention method. Background technique [0002] With the rapid development of video technology, video networks based on video capture for live and video recording have been widely used. However, because the video capture cameras are deployed outdoors, the number of cameras connected to the video network is huge, which is difficult to manage and maintain. key data. At present, many video networks carry the responsibility of social security. Once illegally invaded, it is very likely that in the event of traffic congestion or social security incidents, it is impossible to observe the development of events in real time, and it is impossible to retrospect the situation. [0003] Early warning is an important part of dealing with security risks. The existing technology generally constr...

AI Technical Summary

Problems solved by technology

However, the honeypot system deployed in this way is not suitable for large-scale traffic and large-scale camera access distribution under the video network.

Moreover, the deployed honeypot is likely to become the bottleneck of the entire system, and the deployment on multiple network critical paths also increases network costs.

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