Feature construction method and device based on artificial intelligence model
The invention provides a feature construction method and device based on an artificial intelligence model. The method comprises the steps that DNS logs are collected; arranging and de-duplicating the DNS log to obtain a de-duplicated log; feature fields are extracted from the duplicate removal logs;...
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Main Author | |
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Format | Patent |
Language | Chinese English |
Published |
11.11.2022
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Subjects | |
Online Access | Get full text |
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Abstract | The invention provides a feature construction method and device based on an artificial intelligence model. The method comprises the steps that DNS logs are collected; arranging and de-duplicating the DNS log to obtain a de-duplicated log; feature fields are extracted from the duplicate removal logs; the feature fields comprise a request domain name field, a response length field, a query type field and a return code field, the problem part comprises an entity number field, and the authority area comprises an entity number field and a survival time feature field; performing feature vectorization processing on the feature field to obtain a feature vector; and constructing a polysemy feature based on the feature vector. Therefore, by implementing the implementation mode, a large number of polysemy features can be generated, so that the large number of polysemy features can train a higher-quality DGA artificial intelligence detection model, and the detection false alarm rate can be remarkably reduced.
本申请提供一种基于人工 |
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AbstractList | The invention provides a feature construction method and device based on an artificial intelligence model. The method comprises the steps that DNS logs are collected; arranging and de-duplicating the DNS log to obtain a de-duplicated log; feature fields are extracted from the duplicate removal logs; the feature fields comprise a request domain name field, a response length field, a query type field and a return code field, the problem part comprises an entity number field, and the authority area comprises an entity number field and a survival time feature field; performing feature vectorization processing on the feature field to obtain a feature vector; and constructing a polysemy feature based on the feature vector. Therefore, by implementing the implementation mode, a large number of polysemy features can be generated, so that the large number of polysemy features can train a higher-quality DGA artificial intelligence detection model, and the detection false alarm rate can be remarkably reduced.
本申请提供一种基于人工 |
Author | LYU JIN |
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DocumentTitleAlternate | 一种基于人工智能模型的特征构建方法及装置 |
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Snippet | The invention provides a feature construction method and device based on an artificial intelligence model. The method comprises the steps that DNS logs are... |
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SubjectTerms | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY PHYSICS TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
Title | Feature construction method and device based on artificial intelligence model |
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