A management method of fuzz test data flow

Abstract

The invention discloses a fuzzing test data stream management method, comprising the following steps: (1) creating a bidirectional annular linked list L1 according to ageing time of a data stream; (2) defining a pointer P1 to point to an arbitrary node in the bidirectional annular linked list; (3) defining a pointer P2 to point to a node prior to the node pointed by the P1 in the bidirectional annular linked list; (4) starting a timer for one second; (5) the pointer P2 also points to the next node in the bidirectional annular linked list L1 after the timer times out every time and the content in the step (4) is processed; (6) hanging a newly generated data stream to a node pointed by the P2 in case of the generation of the new data stream; and (7) hanging updated data stream to a node pointed by the P2 if updating of the data stream is required. The fuzzing test data stream management method disclosed by the invention has the following advantages: the problem of occupying a plurality of CPU resources due to stream ageing caused by a very large number of data streams is solved, and all data is classified according to creating time or updating time by means of a time classification method of the streams.

Description

Technical field: [0001] The invention relates to a management method of a fuzzy test data stream, relates to aging of the data stream according to a set aging time after the data stream is established based on an industrial control protocol, and belongs to the field of industrial network security. Background technique: [0002] At present, with the continuous integration of industrialization and informatization, more and more information technologies have been applied to the industrial field. At the same time, due to the widespread use of common software, hardware and network facilities in industrial control systems, as well as the integration with enterprise management information systems, industrial control systems are becoming more and more open, and data exchange occurs with enterprise intranets and even the Internet. Therefore, related tests on industrial control vulnerability mining have been launched for industrial control equipment. For the vulnerability mining of in...

AI Technical Summary

Problems solved by technology

This aging method has a big disadvantage, that is, if the number of streams is huge (such as 100,000), then the time and time comparison of each traversal will waste a lot of CPU time, causing other tasks to be unable to be executed in time. The time complexity is O(n), where n is the number of streams. The present invention adopts a brand-new idea for stream aging, which does not need to go through all stream traversal and time comparison process, which greatly reduces the processing time of stream aging. Time, its time complexity reaches O(1), that is to say, the time complexity of processing flow aging has nothing to do with the number of flows

Images