Visual classification method and device for Internet of Things malicious software and electronic device
A malware and classification method technology, applied in computer security devices, biological neural network models, computer parts, etc., which can solve the problem that features are difficult to explain, difficult to meet the needs of malware classification speed, and cannot prove the reliability and importance of features. problems, such as reducing model size and computing time, high interpretability, and increasing visualization features
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[0021] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments in the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative work fall within the protection scope of the embodiments of the present invention.
[0022] Because the existing malware classification methods need to store and process a large number of model parameters, and lack the visual representation of the extracted malware family features, it is difficult for the traditional malware classification methods to be reliable and efficien...
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