Camera abnormal access identification and alarm method based on improved quartile difference method

Abstract

The invention discloses a camera abnormal access behavior identification and alarm method. The method comprises the following steps: receiving traffic data input; determining whether the stored traffic data exceeds a calculation threshold; if yes, determining whether the length of the stored traffic data exceeds the deletion length or not; if not, determining whether a cache traffic reference value exists; if yes, determining whether the traffic data is greater than a cache traffic reference value; if yes, determining whether an alarm period is met; and if the alarm period is met, storing the flow data and outputting an alarm result.

Description

technical field [0001] The present application relates to a field of network information security, and more specifically, relates to network information security protection of smart home. Background technique [0002] At present, network information security has become a national strategy and a powerful driving force for innovation and development. Smart home has brought unlimited imagination to people's future life, and its development potential must not be underestimated. However, in the Internet age, the more data users transmit, the greater the possibility of information exposure and the higher the probability of security risks. The family contains a large amount of personal privacy information, so the network security of the smart home needs to be paid special attention. The security performance of smart home network information is an inevitable trend in the development of the industry. [0003] Many families now choose smart home devices and choose to install smart ...

AI Technical Summary

Problems solved by technology

The third solution is more suitable for complex scenarios, so a large number of data analysis features are required, and the technical difficulty is relatively large

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