Threat intelligence data sensing method and device, electronic device and storage medium

Abstract

The invention relates to a threat intelligence data sensing method and device, an electronic device and a storage medium. The sensing method of the threat intelligence data comprises the following steps: obtaining the threat intelligence data; inputting the threat intelligence data into a reinforcement learning model to obtain a behavior expectation table, the reinforcement learning model being trained based on a Qlearning algorithm; and determining an attack source of the threat intelligence data according to the behavior expectation table. Through the method and the device, the problem of low detection efficiency of the network threat attack in related technologies is solved, and the detection efficiency of the network threat attack is improved.

Description

technical field [0001] The present application relates to the technical field of network security, in particular to a threat intelligence data perception method, device, electronic device and storage medium. Background technique [0002] With the continuous progress of my country's information technology, more and more leaks involving the field of computer information have caused more and more impact on the country and individuals. Therefore, obtaining the attack source in real time and quickly has become a key point. However, a large amount of threat intelligence data is difficult to manually find out the source of the attack in a short period of time, which leads to the problem of low detection efficiency of network threat attacks. Therefore, in the case of limited manpower, using advanced computer information security technology to conduct real-time and rapid analysis of clues has become an urgent problem to be solved. [0003] In related technologies, all network acces...

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Problems solved by technology

[0005] The embodiment of the present application provides a threat intelligence data perception method, device, electronic device and storage medium, so as to at least solve the problem of low detection efficiency of network threat attacks in related technologies

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