URL(Uniform Resource Locator) classification-based phishing website detection method

A technology for phishing websites and detection methods, applied in the field of network security, can solve the problems of lack of detection features, time-consuming, and lack of linkage mechanism for detection agencies.

Inactive Publication Date: 2012-10-17
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The current phishing detection methods have certain deficiencies. Whether it is based on email features or webpage features, the overall analysis of the email or webpage content must be carried out, which may cause the following problems. Certain detection features may be missing; second, the overall analysis of emails or webpages takes a long time, which may exceed the network delay that users can tolerate from an application point of view; third, when legitimate emails or webpages of the protected organization are updated, The testing agency does not have a corresponding linkage mechanism

Method used

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  • URL(Uniform Resource Locator) classification-based phishing website detection method
  • URL(Uniform Resource Locator) classification-based phishing website detection method
  • URL(Uniform Resource Locator) classification-based phishing website detection method

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Embodiment Construction

[0062] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0063] The present invention realizes a phishing detection prototype system based on URL classification, and the structural diagram of the system is as follows figure 1 shown. The system includes three components: a browser client, an analysis center server, and a protected institution (bank, e-business) (bank, e-business). The browser client exists in the form of a browser plug-in, and is responsible for monitoring the URL input by the user and sending the obtained URL...

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Abstract

The invention discloses a URL (Uniform Resource Locator) classification-based phishing website detection method which comprises the following steps: conducting inductive analysis to the URL character of a phishing website, and vectorizing the URL characters; and according to the URL character vector, training the original data to obtain an initial classification model. The method has strong applicability and high efficiency.

Description

technical field [0001] The invention belongs to the field of network security, relates to an anti-phishing method, in particular to a method for detecting phishing websites based on URL (web address) classification. Background technique [0002] Phishing attacks have become a major threat to the current online transaction security, which has greatly hindered the development of e-commerce, so the research on phishing prevention has become a hot issue in the field of network security. The scale of phishing websites has doubled year by year. From the perspective of machine learning and pattern recognition, a large number of phishing websites have shown a traceable pattern, which brings certain applications to the learning and classification of pattern recognition methods. space. [0003] The existing methods for identifying phishing websites based on pattern recognition mainly include: [0004] Phishing email detection method based on email features. The main method is to fi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06G06F17/30
Inventor 曹玖新罗军舟东方王田峰董丹刘波杨鹏伟吴江林
Owner SOUTHEAST UNIV
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