Equipment information acquisition system based on Internet of Things big data

Abstract

The invention discloses an equipment information acquisition system based on Internet of Things big data. The equipment information acquisition system comprises a data acquisition task generation module, a communication channel establishment module, a target data acquisition terminal, a data feature extraction module, a data availability checking module, a target data acquisition terminal workingcondition monitoring module and a data positioning module. According to the invention, a distributed scheduling and cooperative working mode of the target data acquisition terminal is adopted, dispersed acquisition and unified storage management of equipment information are realized, and high-efficiency and accurate equipment information acquisition can be realized.

Description

technical field [0001] The invention relates to the field of data collection, in particular to an equipment information collection system based on big data of the Internet of Things. Background technique [0002] Collecting information on networked devices on a large-scale network or even the entire Internet helps to grasp the overall security situation of the Internet space, and provides information support for protecting important networked systems, so as to detect problematic devices in time before network attacks occur, or Determine the scope of a cyber attack and respond quickly when it occurs. At present, information collection on large-scale networks usually adopts a distributed organizational structure to avoid the network bandwidth limitation of single-point detection, and at the same time, it can easily expand the information collection capability of the entire system. [0003] However, the problem existing in the existing information collection method is that the...

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Problems solved by technology

[0003] However, the problem existing in the existing information collection method is that the IP address detected by each detection node basically belongs to the same subnet segment or an adjacent subnet segment. The behavior of frequently sending network data packets, these traffic may be judged as abnormal traffic by the target network segment, resulting in the IP address of the detection node being blocked by the target network segment, and further causing the amount of collected device information to be far lower than the actual situation

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