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Phishing website detection method excavated based on network group

A technology of phishing websites and detection methods, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as low detection efficiency and waste of resources, and achieve the effect of improving efficiency and saving resources

Inactive Publication Date: 2013-03-27
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0008] Existing methods are mainly aimed at the detection of phishing webpages, and regardless of whether the feature library is a blacklist or a whitelist, each detection needs to calculate the similarity between many webpages that are not very relevant to suspicious webpages, which wastes a lot of resources and leads to Low detection efficiency

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  • Phishing website detection method excavated based on network group
  • Phishing website detection method excavated based on network group
  • Phishing website detection method excavated based on network group

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Embodiment Construction

[0071] The phishing website detection method based on network group mining of the present invention is to find the potential target website of the suspicious website by grabbing the relevant webpage group of the suspicious website, and then calculate the website feature signatures of the suspicious website and the potential target website respectively, and finally according to the The similarity between the signature of the website and the target website determines whether the suspicious website is a phishing website, and finally finds the target website of the phishing website, such as figure 1 , the implementation steps are:

[0072] Step 1) Establish a network association graph to obtain potential target websites of suspicious webpages:

[0073] Step 1.1) Obtain all links of suspicious webpages to form a seed webpage set;

[0074] Step 1.2) Use the crawler algorithm to crawl the relevant webpage groups of the seed webpage set, and construct a directed graph of the relevan...

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Abstract

The invention provides a phishing website detection method excavated based on a network group. The phishing website detection method includes constructing a webpage set related to a given iffy webpage by using a crawler, then obtaining an iffy website and a potential target website thereof, furthermore calculating website feature signatures, and judging whether the iffy website is a phishing website or not through similarity calculations of the website feature signatures, if yes, returning to the target website thereof. The purpose of the phishing website detection method is detecting whether the website which the iffy webpage is located in is the phishing website so as to find the target website of the phishing website when detection is finished. The process of phishing detection is the process of finding the target website, and due to the fact that the iffy website is only calculated with the related potential target website for similarity, comparisons of the iffy website with irrelevant legal websites in internet are reduced, phishing detection efficiency is improved, resources are saved effectively, and work efficiency is improved.

Description

technical field [0001] The invention relates to a method for detecting phishing websites, which mainly uses network groups to dig out related websites of suspicious websites from the perspective of similarity detection of websites, and analyzes and recognizes phishing websites. It belongs to the intersection field of information security and data mining. technical background [0002] "Phishing website" is a kind of network fraud that appears with the development of the Internet and the increasing maturity of online shopping. Criminals imitate legitimate websites to make "phishing websites" that are almost visually identical to them. Once users log in to the "phishing website", they will disclose their sensitive information (such as: user name, password, account ID, ATM PIN code or credit card number) details, etc.). Because "phishing websites" usually imitate banks or other well-known websites, once users are attacked by phishing, they will suffer economic losses. [0003...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 张卫丰滕雯静张迎周周国强王子元周国富钱小燕许碧欢陆柳敏
Owner NANJING UNIV OF POSTS & TELECOMM
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