Data dynamic collection method, device and system oriented to active security

Abstract

The invention discloses a data dynamic collection method oriented to active security. The method comprises the following steps: configuring initial collection frequency of original data; acquiring theoriginal data of the current period from a monitored target according to the initial collection frequency; processing the original data to obtain the processed data; outputting the processed data toa directed target; recording the change amplitude of target data; computing a first ratio of the change amplitude sum of k target data between the current moment and the m time before the current timeto the data size; computing the change amplitude sum of p target data between the current moment and the n time before the current moment to the data size; comparing the first ratio with the second ratio; judging whether needs to adjust the initial collection frequency according to the comparison result. The invention further discloses a data dynamic collection device and collection system oriented to active security. The data collection precision is improved by using the data dynamic collection method oriented to active security provided by the invention.

Description

technical field [0001] The present invention relates to the technical field of network security, in particular to an active safety-oriented data dynamic acquisition method, an active safety-oriented data dynamic acquisition device, and an active safety-oriented data dynamic acquisition system including the active safety-oriented data dynamic acquisition device . Background technique [0002] Due to the limitation of technological development, traditional information security can only adopt a passive defense mode, that is, passively repair the damage caused by the intrusion behavior after it affects the information system. With the development of big data analysis technology and cloud computing technology, the analysis of security situation by information system security monitoring technology is becoming more and more accurate, the early warning of security incidents is becoming more and more timely and accurate, and the security defense is gradually changing from passive def...

AI Technical Summary

Problems solved by technology

The traditional collection strategy uses a fixed-interval collection strategy, and the data generated in this way has the problems of data redundancy and insufficient precision as a data source for big data analysis

The more serious the data redundancy, the more effort will be spent on data cleaning; the lower the data accuracy, the more difficult it is to find intrusion behavior from it

Therefore, the data collected by the equal interval collection strategy cannot meet the rich, comprehensive and high-quality requirements for big data analysis to provide decision support for active safety, and is not suitable as a big data data source for active safety.

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