Webpage classifying method, system and device

Abstract

The invention discloses a webpage classifying method. The method includes the steps of obtaining N-dimensional current features of a to-be-classified webpage, wherein N is a positive integer; inputting the N-dimensional current features in a trained stacking model for feature expansion to obtain (N+n)-dimensional features of the to-be-classified webpage, wherein the stacking model is a model formed by conducting q-layer stacking on p basic classifying models, n is the product of p and q, and n, p and q are positive integers; obtaining a classifying result of the to-be-classified webpage through a classifying algorithm according to the (N+n)-dimensional features. By means of the method, the N-dimensional current features of the to-be-classified webpage are expanded through the stacking model, and the webpage classifying accuracy is improved on the premise of not depending on a search engine or third-party service. The invention further discloses a webpage classifying system, a webpage classifying device and a computer readable storage medium. The same technical effects can be achieved.

Description

Technical field [0001] The present invention relates to the technical field of network security, and more specifically, to a web page classification method and system, a web page classification device and a computer-readable storage medium. Background technique [0002] Phishing is a kind of online fraud. It means that criminals use various methods to imitate the URL address and page content of the real website to defraud the user's important account number, bank or credit card account number, password and other private information. Criminals usually design the page of a phishing website to be completely consistent with the interface of the real website, enticing visitors to submit their account and password. [0003] In recent years, many researchers have designed practical solutions to the anti-phishing problem. These solutions mainly have the following aspects: (1) Blacklist and whitelist-based methods; (2) Extract text, image or URL characteristics from web pages, and use sea...

AI Technical Summary

Problems solved by technology

Among the above methods, the method based on the black and white list needs constant manual maintenance of the list; the method using search engines is often limited by the performance of the search engine, and cannot achieve real-time detection; the method based on visual similarity is more likely to be affected by the accuracy of target recognition. Impact; the method of using webpage DNS requires a third-party service to provide DNS information, and the development cost is relatively high

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