Fishing webpage detection method based on spatial layout and visual features

Abstract

The fishing webpage detection method based on spatial layout and visual features relates to a design plan which is based on webpage visual layout features and is combined with a spatial database and a picture feature similarity degree comparison. The fishing webpage detection method mainly solves the problem of rapid fishing webpage detection from the angle of webpage layout and visual similarity degree. The system is composed of six modules. The upper most layer is a user interface module which is mainly responsible for acquiring the user input and feeding back the result to the user. The intermediate layer is a control module which is responsible for dispatching all the function modules to complete the fishing webpage detection. The core of the system are four function modules, i.e., the layout feature extracting module, the spatial database module, the machine learning matching module, the picture feature extracting and comparison module. Proved by a great deal of experimental data, the method builds a fishing webpage detection system with a high speed and a high precision. The data processing capacity is greatly increased and the webpage detecting time is shortened while ensuring a high accuracy rate.

Description

technical field [0001] The invention relates to a method for detecting phishing pages, mainly matching and identifying phishing webpages from the perspective of visual similarity of webpage visual layout, belonging to the field of information security. Background technique [0002] Phishing website is an online fraud that has become extremely rampant with the popularity of the Internet and the increase in online transactions. Phishing websites are fraudulent websites made by criminals. Phishing websites are usually almost identical to banking websites or other well-known websites, thereby luring website users to submit sensitive information (such as user names, passwords, bank account numbers or credit cards) on phishing websites. detailed information, etc.) [Zhang2007]. [0003] figure 1 is the architecture of the phishing website. The most typical phishing attack process is as follows: first, lure users to a carefully designed phishing website that is very similar to th...

AI Technical Summary

Problems solved by technology

According to Gesta's visual principle, relative position plays a major role in human vision, especially the relative positional relationship between multiple shapes. Changes in relative positional relationship will inevitably lead to visual differences, and the algorithm does not consider relative positional factors. May lead to failure of similarity detection, so this method can only detect web pages that are visually similar to real web pages

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