Scanning detection method for pipelined equipment

Abstract

The pipelined device scanning and detection method includes the following steps. Step 1 divides the device scanning and detection stages, and deploys each scanning and detection stage to a plurality of servers, and the corresponding servers of each scanning and detection stage complete the tasks of the respective scanning and detection stages; Step 2, counting the historical time-consuming of the detection and scanning phase, and calculating the progress weight corresponding to each detection and scanning phase; Step 3, calculating the scanning progress, and displaying the calculation result of the scanning progress. The invention provides a pipelined device scanning detection method, which improves the overall throughput rate of different network segments for device detection, and displays the scanning progress of tasks more accurately in a smooth and convergent manner.

Description

technical field [0001] The present invention relates to the technical field of Internet device scanning, and more specifically, relates to a pipelined device scanning detection method. Background technique [0002] Industrial control security is related to national economic development and national scientific and technological progress. With the advent of the Internet of Things era, industrial control has gradually shifted from the traditional stand-alone and local area network mode to the Internet mode, and the system has also changed from closed to open and intelligent. At the same time, operations such as equipment control, debugging, and upgrading have gradually changed from offline to online. All these changes facilitate the monitoring and operation of equipment, but at the same time increase the risk of industrial control equipment being attacked by the network. [0003] Industrial control security is so important, is there a measurable way to detect potential vulner...

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Problems solved by technology

[0003] Industrial control security is so important, is there a measurable way to detect potential vulnerabilities in cyberspace, and at the same time, can display the scanning progress more accurately? We know that the detection of industrial control security often involves multiple stages. The usual practice can only show the scanning progress in logs, and it is impossible to connect the various stages in series to make an overall progress assessment.

[0004] Moreover, conventional industrial control scans are aimed at network spaces where the amount of devices is unknown, and it is difficult to assess how long it takes to detect devices in the space, which often makes it difficult for administrators to accept

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