Identification and early warning method for abnormal behavior website

A website and abnormal technology, which is applied in the direction of website content management, network data retrieval, network data indexing, etc., can solve the problems of easy false alarms, false negatives, and lack of convincing early warning data, etc., to ensure the scanning range and The effect of recognition accuracy, improvement of recognition accuracy, and expansion of research and judgment dimensions

Pending Publication Date: 2021-12-24
成都无糖信息技术有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1. With the increase of abnormal behavior website features and the continuous expansion of the keyword library, it is easy to generate false alarms;
[0004] 2. With the update of abnormal network behavior patterns and methods, only relying on the keyword database for matching cannot keep up with the development of abnormal network behaviors, which is prone to false positives;
[0005] 3. The early warning data generated by using only a si

Method used

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  • Identification and early warning method for abnormal behavior website
  • Identification and early warning method for abnormal behavior website
  • Identification and early warning method for abnormal behavior website

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0045] 1. Suspicious website clue identification (workflow such as figure 2 shown)

[0046] (1) Polling and scanning of global IP addresses to obtain accessible website platforms. The text is extracted from all accessible website platforms, and matched with the keyword library corresponding to the characteristics of abnormal behavior websites, and the website platforms suspected of abnormal network behavior are screened out.

[0047] (2) For the website platform that uses text encoding (human eyes see it as text, and machine scans it as garbled code), use OCR technology to extract text content, and match it with the keyword library corresponding to the abnormal behavior website characteristics to determine whether it has Suspicion of abnormal network behavior.

[0048] (3) For information disclosure websites such as news, post bars, forums, blogs, and public accounts, if the posting content, reply content, etc. match the keyword database corresponding to the characteristics...

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PUM

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Abstract

The invention discloses a recognition and early warning method for an abnormal behavior website, and the method comprises the steps of suspicious website clue recognition, website feature data analysis, operation subject information analysis, network public opinion data analysis, abnormal behavior website risk study and judgment and the like, and can fully guarantee a scanning range and recognition accuracy, and guarantee effective recognition of webpage text content; the method has the advantages that abnormal behavior website operation feature recognition is more accurate, the recognition rate is accurate, the network abnormal behavior suspicion of the target website is proved through multiple information levels, the network abnormal behavior risk research and judgment dimension is expanded, the abnormal behavior website recognition accuracy is effectively improved, and the false alarm rate is reduced.

Description

technical field [0001] The invention belongs to the technical field of identifying abnormal behavior websites, and in particular relates to an identification and early warning method for abnormal behavior websites. Background technique [0002] The traditional early warning identification method for abnormal behavior websites is to match keywords, and count the keyword types and frequency of keywords appearing on a certain web page to identify and early warning. However, the traditional early warning method has the following shortcomings: [0003] 1. With the increase of abnormal behavior website features and the continuous expansion of the keyword library, it is easy to generate false alarms; [0004] 2. With the update of abnormal network behavior patterns and methods, only relying on the keyword database for matching cannot keep up with the development of abnormal network behaviors, which is prone to false positives; [0005] 3. The early warning data generated by using ...

Claims

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Application Information

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IPC IPC(8): G06F16/903G06F16/951G06F16/958G06Q30/00G06Q50/26
CPCG06F16/951G06F16/958G06F16/90335G06Q50/26G06Q30/0185
Inventor 胡起铭张瑞冬童永鳌朱鹏
Owner 成都无糖信息技术有限公司
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