Feature rule matching library updating method, device, storage medium and electronic equipment

Abstract

The invention discloses a feature rule matching library updating method, a feature rule matching library updating device, a storage medium and electronic equipment. The method comprises the followingsteps: receiving a feature rule processing instruction which comprises a feature rule processing type and feature rule information; determining a target sub-library according to the feature rule processing instruction, and updating the target sub-library based on the feature rule processing type and the feature rule information; determining a target sub-library updated in a preset time interval according to the preset time interval; and compiling the updated target sub-library, and updating a feature rule matching library according to the compiled feature rule matching sub-library. The space for storing the feature rules is divided into the multiple independent sub-libraries, the sub-libraries are small in capacity and high in compiling speed, the sub-libraries are independent of one another and can be compiled in parallel, compiling time is shortened, compiling efficiency of the feature rule matching library is improved, and compiling real-time performance of the feature rule matchinglibrary is improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data communication, and in particular to an update method, device, storage medium and electronic equipment of a feature rule matching library. Background technique [0002] Hyperscan is a high-performance regular expression matching library from Intel. The use process of the Hyperscan library is as follows: 1. Call the compiler to compile the feature rules and generate the corresponding database. The generated database is serialized and stored in memory for extraction at runtime; 2. Call the database generated based on compilation The matching engine inside Hyperscan does pattern matching. see figure 1 , figure 1 It is a schematic diagram of compiling the Hyperscan library in the prior art. [0003] During the use of the hyperscan library, feature rules need to be pre-compiled to perform feature matching. Even if only a small amount of feature changes, the entire feature libr...

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Problems solved by technology

[0003] During the use of the hyperscan library, feature rules need to be pre-compiled to perform feature matching. Even if only a small amount of feature changes, the entire feature library needs to be recompiled. As the size of the feature increases, the time required for the compilation step increases exponentially. , when the feature library reaches the million level, the compilation time is very long, and the real-time performance of feature rules cannot be guaranteed

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