A phishing website detection method based on web automation testing and breadth learning
A technology for phishing websites and detection methods, which is applied in network data retrieval, retrieval of Web data using information identifiers, retrieval of other databases, etc., can solve problems such as low speed and efficiency, unreliable determination methods, and time-consuming, etc. To achieve the effect of improving the recognition ability
Active Publication Date: 2020-08-04
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology
This method cannot identify the latest phishing websites and requires manual verification
[0008] ② URL feature extraction: extract corresponding features through the accessed URL, such as the domain name, but this judgment method is unreliable, because the URL does not have the decisive characteristics of the phishing website, and the misjudgment rate and missed judgment rate of this method higher
[0009] ③ Combining various website page elements as features to detect phishing websites: because it takes a certain amount of time to acquire the features of web pages, this type of method has improved accuracy compared with the second type of method, but the speed and efficiency of execution are both low. not tall
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[0074] (1) Step 1: Perform static feature extraction, dynamic feature extraction and interactive click visits for a large number of phishing websites and normal websites in the data set on the PC side.
[0075] Such as figure 2 As shown, step 1 is as follows:
[0076] Step 1.1, perform static feature extraction on the URL itself, including the following six features:
[0077] ①Whether the url contains an ip address: ip address can be used to avoid domain name registration and user inspection;
[0078] ②Whether the domain name of the url is a pure number from the beginning to the first point: Regular URLs rarely use pure numbers to insert the domain name, such as the regular URL Baidu https: / / www.baidu.com / , the phishing website http: / / www.030033. com / ;
[0079] ③Whether there are sensitive characters such as @ in the url: The front of the @ character is the account, and the back is the real address. This method is commonly used by phishing websites;
[0080] ④Whether the url port is po...
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The invention discloses a phishing website detection method based on web automatic testing and width learning, and belongs to the technical field of computer network safety. According to the invention, firstly, conventional feature extraction is carried out on the basis of url (Uniform Resource Locator) and html pages, then interactive feature extraction is carried out by utilizing a web automatictesting technology, and finally, width learning training is carried out by utilizing a preprocessed training sample after feature extraction, so that a phishing website is accurately and rapidly identified and detected, and network information and property safety of the public is protected.
Description
Technical field [0001] The invention belongs to the technical field of computer network security, and more specifically, relates to a phishing website detection method based on web automated testing and width learning. Background technique [0002] Phishing is an attack that steals sensitive information such as users' personal identity data and financial account numbers by sending a large number of deceptive spam and false webpage advertisements purporting to come from banks or well-known institutions. The most typical phishing attack is to lure users to a carefully designed phishing website that is very similar to the website of the target organization, to obtain sensitive personal information entered by the user on the website or to defraud the user for remittance. Because the victims of this type of attack are not easy to be aware of, phishing websites have become one of the most serious Internet crime methods, and the detection of phishing websites has become one of the most ...
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IPC IPC(8): H04L29/06G06F16/955
CPCG06F16/9566H04L63/1483H04L63/306
Inventor 袁巍聂依凡李浩鹏贾昂蔡明辉姜源
Owner HUAZHONG UNIV OF SCI & TECH